{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":753,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":753,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"c2da16375ab7","filters":{"topic":"Maritime Ports and Logistics"}},"results":[{"id":"W1968350460","doi":"10.1287/trsc.1050.0120","title":"Models and Tabu Search Heuristics for the Berth-Allocation Problem","year":2005,"lang":"en","type":"article","venue":"Transportation Science","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":397,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"HEC Montréal; Università della Calabria; Canada Research Chairs","keywords":"Tabu search; Heuristics; Mathematical optimization; Heuristic; Schedule; Computer science; Set (abstract data type); Minification; Branch and bound; Operations research; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03399212553211606,"gpt":0.2645859461542923,"spread":0.2305938206221762,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003171494,0.00005209624,0.00004524548,0.00003437371,0.0001532552,0.00004891992,0.0001024222,0.00001803851,0.00001364378],"category_scores_gemma":[0.000007129287,0.00003971376,0.00001053608,0.0001562622,0.0001503167,0.0002151838,0.000001396804,0.00004701761,0.000001524093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416532,"about_ca_system_score_gemma":0.00003168814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475989,"about_ca_topic_score_gemma":0.0001259113,"domain_scores_codex":[0.9994402,0.000001724648,0.0001301799,0.0001088143,0.0001779838,0.0001410819],"domain_scores_gemma":[0.9996983,0.00005715497,0.0000119983,0.00008906698,0.00009979655,0.00004368233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002848413,0.000007702753,0.0002630309,0.00004621318,0.000002800337,2.176228e-7,0.001417491,0.9078562,0.000622723,0.04764792,0.0001482293,0.04198462],"study_design_scores_gemma":[0.00009884547,0.00000965379,0.008533531,0.000005150192,0.00001107181,6.412665e-7,0.00006507464,0.9857656,0.0008305638,0.001371783,0.003238698,0.00006940369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02868052,0.000173243,0.9688057,0.0004325002,0.00005942175,0.0002972085,0.00002584348,0.00007051647,0.001455013],"genre_scores_gemma":[0.9825574,0.0001197426,0.01708508,0.00004276255,0.0000345809,0.00002367626,0.00001120809,0.000006509849,0.000119079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9538769,"threshold_uncertainty_score":0.161948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047449665","doi":"10.1002/nav.20121","title":"A branch‐and‐cut algorithm for the quay crane scheduling problem in a container terminal","year":2005,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":220,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Canada Research Chairs","keywords":"Idle; Scheduling (production processes); Computer science; Exploit; Job shop scheduling; Mathematical optimization; Container (type theory); Algorithm; Operations research; Routing (electronic design automation); Mathematics; Engineering; Computer network; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06578689733596091,"gpt":0.3504564598251912,"spread":0.2846695624892304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002339933,0.0002060725,0.000275814,0.000190369,0.0002205882,0.0001699006,0.0003206863,0.0001702746,0.00007924662],"category_scores_gemma":[0.001127414,0.000155756,0.00005904224,0.0002577735,0.0003582445,0.00007762523,0.000120698,0.000881971,0.00002268966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586846,"about_ca_system_score_gemma":0.0001096768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003387738,"about_ca_topic_score_gemma":0.0006050514,"domain_scores_codex":[0.9978319,0.00007177453,0.0004101519,0.0002996938,0.0005178499,0.0008686626],"domain_scores_gemma":[0.9975808,0.001659718,0.00002983706,0.0003045447,0.0002597296,0.0001654186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001060464,0.000166402,0.0006430139,0.0004811413,0.00008516311,0.0001625185,0.0005976421,0.05321056,0.0004363843,0.01695271,0.003643883,0.9235145],"study_design_scores_gemma":[0.0009867597,0.0001596623,0.0006664317,0.00008240802,0.00002021287,0.00003814793,0.0001287187,0.9341826,0.0002002636,0.004809661,0.05847387,0.0002512421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004010217,0.003803972,0.9761238,0.001790984,0.0002833891,0.001953474,0.0001814508,0.0002100372,0.01164266],"genre_scores_gemma":[0.9498138,0.0006196823,0.04716796,0.00007705312,0.0007293099,0.0002545236,0.00002338346,0.00005735453,0.001256967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9458035,"threshold_uncertainty_score":0.6351544,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086363398","doi":"10.2202/1446-9022.1049","title":"The Governance Structure of Ports","year":2004,"lang":"en","type":"article","venue":"Review of Network Economics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Devolution (biology); Corporate governance; Variety (cybernetics); Port (circuit theory); Business; Profit (economics); Industrial organization; Economic geography; Economics; Engineering; Finance; Geography; Computer science; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.004439453355063487,"gpt":0.1808556944686493,"spread":0.1764162411135858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001046169,0.0000713675,0.0002321325,0.000002480207,0.00001866711,0.000004008682,0.0001180305,0.00002829001,0.00006009633],"category_scores_gemma":[0.00001515385,0.00005343185,0.00006173567,0.000038364,0.00003519804,0.00002160598,0.00001766354,0.00006085947,0.000001450849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002717906,"about_ca_system_score_gemma":0.00002021205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005718286,"about_ca_topic_score_gemma":0.00002835959,"domain_scores_codex":[0.9994494,0.000003990272,0.0003555007,0.00005426295,0.00002574154,0.0001111383],"domain_scores_gemma":[0.9995611,0.00002963644,0.0001449752,0.00022611,0.00001682468,0.00002138664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002548383,0.000007787201,0.000499188,0.005724984,0.00008742343,0.000002068295,0.00001131663,0.6921834,0.000004462148,0.1665005,0.0171906,0.1177858],"study_design_scores_gemma":[0.0001591984,0.00002386602,0.003256822,0.003852608,0.00006275608,0.0000179416,0.000002226365,0.002504962,0.0001221498,0.01914832,0.9706303,0.0002188088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01740743,0.9518213,0.001302989,0.0003918009,0.001453327,0.000482798,0.0001056049,0.00005063043,0.02698413],"genre_scores_gemma":[0.3497241,0.6489417,0.001016323,0.0001159504,0.0001581193,0.000001216109,0.000006860202,0.00001277647,0.00002297959],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9534397,"threshold_uncertainty_score":0.2178888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2773971719","doi":"10.1016/j.ejor.2017.11.061","title":"Simulation of intermodal freight transportation systems: a taxonomy","year":2017,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":191,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Taxonomy (biology); Computer science; Container (type theory); Field (mathematics); Operations research; Transport engineering; Traffic management; Transportation planning; Decision support system; Engineering; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.1453678605602083,"gpt":0.3406096048827289,"spread":0.1952417443225206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771278,0.00005900419,0.0001227351,0.0001352808,0.0001550871,0.0001603589,0.0002745701,0.00001669668,0.0001604177],"category_scores_gemma":[0.0003233895,0.00005025697,0.00004501957,0.00003339966,0.000085559,0.0002870816,0.00001205658,0.0002520912,0.00001294389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003291457,"about_ca_system_score_gemma":0.000055526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008853414,"about_ca_topic_score_gemma":0.000003628397,"domain_scores_codex":[0.9987873,0.0001426742,0.0004527109,0.00005650579,0.0004517133,0.0001091399],"domain_scores_gemma":[0.9987492,0.0001311549,0.0001238778,0.0001546131,0.0007727341,0.00006844233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000371737,0.00002867856,0.001456561,0.00007563504,0.00004636502,0.0001269472,0.000172078,0.988177,0.0009202441,0.003107827,0.001831899,0.004019587],"study_design_scores_gemma":[0.001185859,0.0004240457,0.1367834,0.0004037581,0.00002438804,0.00002958019,0.0001834923,0.767987,0.0008528385,0.0001220667,0.09179184,0.0002117806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4486205,0.000853076,0.3967783,0.0003056033,0.001276796,0.0005645176,0.0001093684,0.00002838021,0.1514634],"genre_scores_gemma":[0.9984658,0.00002591986,0.0008558873,0.000002588884,0.0003533818,0.000001505825,0.000009308437,0.00001535562,0.0002702656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5498453,"threshold_uncertainty_score":0.204942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071552003","doi":"10.1007/s10951-007-0029-5","title":"A tabu search heuristic for the quay crane scheduling problem","year":2007,"lang":"en","type":"article","venue":"Journal of Scheduling","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":189,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Tabu search; Mathematical optimization; Job shop scheduling; Scheduling (production processes); Computer science; Greedy randomized adaptive search procedure; GRASP; Vehicle routing problem; Greedy algorithm; Mathematics; Routing (electronic design automation)","retraction":null,"screen_n_in":null,"score":{"opus":0.02566375608135085,"gpt":0.2728185617587647,"spread":0.2471548056774139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002595851,0.0001427587,0.0002460146,0.0001322535,0.0001590081,0.00009505935,0.000253322,0.00008520156,0.00005816586],"category_scores_gemma":[0.0002879751,0.00009979603,0.0001499174,0.0001662351,0.0000491195,0.0001138481,0.00002403346,0.0005585984,0.000005235726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006363858,"about_ca_system_score_gemma":0.00006166194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009180628,"about_ca_topic_score_gemma":0.000008299777,"domain_scores_codex":[0.9985266,0.00001239539,0.0006547657,0.00008851101,0.0003167607,0.0004009253],"domain_scores_gemma":[0.9986158,0.0006782939,0.0001395494,0.0001398794,0.0002883571,0.0001381183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000990916,0.00005406946,0.001056956,0.0004031362,0.0002050076,0.0001034448,0.0006985299,0.9567055,0.00366724,0.002640048,0.0003015566,0.03406546],"study_design_scores_gemma":[0.002328519,0.0003851993,0.003070921,0.0007376041,0.0003734758,0.0007727835,0.002845643,0.9569962,0.006572133,0.003191051,0.02203551,0.0006909493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08127009,0.003124917,0.9132902,0.0003077952,0.0006854506,0.0002035288,0.000003675194,0.00004481248,0.001069527],"genre_scores_gemma":[0.8618971,0.0001987365,0.1366978,0.0000509811,0.001045452,0.000002364707,0.000001052763,0.00003643438,0.00007005045],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.780627,"threshold_uncertainty_score":0.4069564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2004480472","doi":"10.1016/j.ejor.2006.12.057","title":"Variable neighborhood search for minimum cost berth allocation","year":2007,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Variable neighborhood search; Mathematical optimization; Tardiness; Heuristic; Computer science; Minification; Variable (mathematics); Memetic algorithm; Genetic algorithm; Retard; Local search (optimization); Mathematics; Metaheuristic; Job shop scheduling","retraction":null,"screen_n_in":null,"score":{"opus":0.08025433142720256,"gpt":0.3410985650891733,"spread":0.2608442336619707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009044541,0.00008284587,0.00011581,0.0002409643,0.0001763623,0.0001443766,0.0002533799,0.00002587863,0.0003750756],"category_scores_gemma":[0.0004518628,0.00007321869,0.00004492331,0.0002246423,0.000058659,0.0001706791,0.00003508053,0.0004234777,0.00004455927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009662053,"about_ca_system_score_gemma":0.0001711289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003135377,"about_ca_topic_score_gemma":0.000002410484,"domain_scores_codex":[0.9982568,0.0001560179,0.0004648773,0.00009525317,0.0006754652,0.0003516038],"domain_scores_gemma":[0.9977747,0.0005036271,0.00003147622,0.0001171481,0.001384505,0.0001885212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007722345,0.0005716011,0.002665365,0.0003772526,0.0004107785,0.0006689338,0.001503899,0.2513924,0.04735959,0.3213732,0.2076347,0.1652701],"study_design_scores_gemma":[0.003880863,0.001712884,0.02526185,0.0002432762,0.0000402711,0.0004155033,0.0006856496,0.163214,0.01368987,0.001668037,0.7885543,0.0006334941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00802187,0.0003279737,0.8273253,0.0005847038,0.0004027805,0.0003599384,0.00002515182,0.00002129393,0.162931],"genre_scores_gemma":[0.9794556,0.00005799473,0.01762636,0.00006112996,0.001084855,0.000002401001,0.00003207946,0.00004082259,0.001638731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9714338,"threshold_uncertainty_score":0.4106815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023693213","doi":"10.1080/03088830802215060","title":"Assessing port governance models: process and performance components","year":2008,"lang":"en","type":"article","venue":"Maritime Policy & Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Port (circuit theory); Corporate governance; Process (computing); Government (linguistics); Process management; Computer science; Conceptual model; Business; Engineering; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.03163031698931446,"gpt":0.2500512644971438,"spread":0.2184209475078293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009841383,0.0002152356,0.000204393,0.00009213033,0.0001720051,0.00009010064,0.0001641689,0.00005080722,0.00006062157],"category_scores_gemma":[0.000004842522,0.0002316558,0.00003046534,0.0001713222,0.00008575453,0.000456798,0.0001233203,0.0001340704,0.00001982526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008271958,"about_ca_system_score_gemma":0.0000128423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001488821,"about_ca_topic_score_gemma":0.000003187219,"domain_scores_codex":[0.9988225,0.000008256498,0.0002617188,0.000236732,0.0002729383,0.0003978337],"domain_scores_gemma":[0.9995744,0.00001048409,0.00004381014,0.0002389383,0.00002672147,0.000105618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005473516,0.0004918696,0.03559408,0.00636669,0.0005386377,0.001199123,0.001198754,0.2053019,0.00003918725,0.1006705,0.02581589,0.6227286],"study_design_scores_gemma":[0.0006222675,0.00002666051,0.3338738,0.0001748598,0.00004787515,0.0001245377,0.00004515042,0.6455778,0.00005228937,0.003121146,0.01572052,0.0006130797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3554067,0.0004311129,0.006030689,0.0003401773,0.0001713531,0.0003929955,0.00001961877,0.0005011072,0.6367063],"genre_scores_gemma":[0.9942119,0.001741711,0.001698424,0.0002597869,0.0001390782,0.00003691472,0.00001864952,0.00004200958,0.001851573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6388052,"threshold_uncertainty_score":0.9446648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069134760","doi":"10.1016/j.retrec.2011.11.005","title":"Port competitiveness from the users' perspective: An analysis of major container ports in China and its neighboring countries","year":2011,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Chinese University of Hong Kong; University of Hong Kong","keywords":"Analytic hierarchy process; Port (circuit theory); Competitor analysis; Mainland China; Business; Sample (material); China; Container (type theory); Beijing; Benchmark (surveying); Perspective (graphical); Industrial organization; Hierarchy; Telecommunications; Transport engineering; Operations research; Computer science; Marketing; Engineering; Geography; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04478401596670122,"gpt":0.2923369810068704,"spread":0.2475529650401692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627294,0.00009069511,0.0002478563,0.0003077855,0.00003380273,0.00002006516,0.0001125086,0.00005882961,0.0002687272],"category_scores_gemma":[0.00001301354,0.00008552334,0.0000319771,0.0002752425,0.00009263049,0.0002117461,0.000004456964,0.000188906,5.829303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009757579,"about_ca_system_score_gemma":0.00004684301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01272451,"about_ca_topic_score_gemma":0.03637807,"domain_scores_codex":[0.999147,0.00004162547,0.0003419332,0.0001840801,0.00008780656,0.0001975428],"domain_scores_gemma":[0.9995432,0.0001314159,0.00003963843,0.0001456876,0.0000852654,0.00005478413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004603041,0.00003787451,0.915639,0.00002738423,0.0001155598,0.00002700016,0.00647358,0.02196911,0.0000124656,0.05550626,6.57109e-7,0.0001450405],"study_design_scores_gemma":[0.0002592239,0.00001735237,0.9593648,0.00001668732,0.00004286016,2.201226e-7,0.002268581,0.03657579,0.0001643456,0.001153642,0.00004819956,0.00008823432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997629,0.0002679997,0.0002763416,0.00004810693,0.00003629994,0.0001741342,0.0002756023,0.00001322385,0.001279334],"genre_scores_gemma":[0.9988431,0.0008612798,0.00008997067,0.00000869752,0.00001695388,0.0000166376,0.0001403501,0.00001411671,0.000008867303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05435261,"threshold_uncertainty_score":0.9938499,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150889816","doi":"10.1287/trsc.34.2.133.12308","title":"A Benders Decomposition Approach for the Locomotive and Car Assignment Problem","year":2000,"lang":"en","type":"article","venue":"Transportation Science","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lagrangian relaxation; Decomposition; Column generation; Integer programming; Benders' decomposition; Mathematical optimization; Decomposition method (queueing theory); Simplex algorithm; Context (archaeology); Linear programming relaxation; Computer science; Dynamic programming; Linear programming; Set (abstract data type); Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01422500301572305,"gpt":0.2400552185029919,"spread":0.2258302154872689,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001766555,0.00005226535,0.00004517508,0.00002125847,0.0001468723,0.00003604461,0.00006943565,0.00001457469,0.00005146542],"category_scores_gemma":[0.00000114056,0.00003849234,0.00001323186,0.0001140115,0.0001415972,0.0001095183,4.994172e-7,0.00003367827,7.121093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656543,"about_ca_system_score_gemma":0.00001295646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977853,"about_ca_topic_score_gemma":0.00001336445,"domain_scores_codex":[0.9995436,0.000002258969,0.00009664612,0.0001130998,0.0001290909,0.0001152902],"domain_scores_gemma":[0.9998427,0.00002558401,0.00001049824,0.00006037463,0.00002455523,0.00003628387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001332499,0.00003374598,0.0007816778,0.00008896599,0.0000150038,0.000001078409,0.003898812,0.8999333,0.001337432,0.01134859,0.0001860474,0.08236202],"study_design_scores_gemma":[0.000573401,0.00008029753,0.1062386,0.00001684894,0.0000711165,0.000004318789,0.000766823,0.8824071,0.002547268,0.001502893,0.005503691,0.0002876792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05473192,0.00009498162,0.9348927,0.00009898211,0.00004494201,0.0006292579,0.0000363676,0.00008403837,0.009386802],"genre_scores_gemma":[0.988292,0.00003748454,0.01149711,0.00002951468,0.00001047438,0.00005376846,0.00001885691,0.000004539932,0.00005620497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9335601,"threshold_uncertainty_score":0.1569672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1965332163","doi":"10.1068/a37421","title":"Rethinking the Port","year":2006,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Port (circuit theory); Container (type theory); Economic geography; Industrial organization; Empirical evidence; Business; Economy; Economics; Engineering; Electrical engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008581875653839242,"gpt":0.161220718876583,"spread":0.1526388432227437,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009629217,0.00006885922,0.00006364201,0.00001124538,0.00009144032,0.00003868323,0.00002270557,0.00003242444,0.00005313141],"category_scores_gemma":[0.00000116593,0.00005344048,0.000009168735,0.000006517709,0.00004163968,0.00003364213,0.00001563498,0.00008302774,0.000003804273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007008683,"about_ca_system_score_gemma":9.926765e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002776461,"about_ca_topic_score_gemma":0.00000216514,"domain_scores_codex":[0.9997304,0.00000430267,0.00006989681,0.00007815785,0.00002045155,0.00009678325],"domain_scores_gemma":[0.9998662,0.00003505461,0.00001322907,0.00006308647,5.438163e-7,0.0000218374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000161931,0.00003292723,0.7302735,0.0001600862,0.0001192884,0.0001525207,0.005000617,0.1190936,0.0001089689,0.05829075,0.07039582,0.01635578],"study_design_scores_gemma":[0.0002075524,0.00002082194,0.08598428,0.00002224601,0.00002750644,0.00003529448,0.0002863767,0.02563835,0.00007246116,0.01453006,0.8728898,0.0002852679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776398,0.00681497,0.006339543,0.0008052067,0.000131423,0.0001346335,0.000005532401,0.0001045833,0.3080243],"genre_scores_gemma":[0.9981477,0.0001581558,0.0003710353,0.00005488449,0.0001068964,0.000003449799,0.00000729998,0.000006523028,0.001144112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8024939,"threshold_uncertainty_score":0.217924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998833643","doi":"10.1016/j.ejor.2007.10.057","title":"Service network design with management and coordination of multiple fleets","year":2007,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Natural Sciences and Engineering Research Council; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Fleet management; Computer science; Service (business); Network planning and design; Throughput; Synchronization (alternating current); Operations research; Flow network; Service system; Computer network; Business; Mathematical optimization; Telecommunications; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07081002622745247,"gpt":0.2960951960183646,"spread":0.2252851697909122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004141732,0.00005029665,0.00007542517,0.0001136492,0.00006893941,0.00003892969,0.00009561457,0.000009126536,0.00004996695],"category_scores_gemma":[0.00005412915,0.00003927186,0.000009595838,0.0001839183,0.00003661701,0.00008624751,0.00002944292,0.0001718399,0.000004081299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002245532,"about_ca_system_score_gemma":0.00001805489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002613772,"about_ca_topic_score_gemma":0.000007061947,"domain_scores_codex":[0.9990051,0.0001325819,0.0002497401,0.00005081667,0.0004189424,0.0001427727],"domain_scores_gemma":[0.9990952,0.0001978834,0.00003455511,0.00005721611,0.0005439365,0.00007120181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003325836,0.00007172602,0.003898767,0.0001678108,0.0001602945,0.0007106013,0.0003693991,0.9338971,0.001303241,0.004792506,0.02071226,0.03358373],"study_design_scores_gemma":[0.005647397,0.002224769,0.5582783,0.0009277754,0.00007835036,0.0006444966,0.001115356,0.3176532,0.004088138,0.0006674347,0.1080676,0.0006072232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08581064,0.0007017709,0.8650084,0.0003774329,0.0001252792,0.0002735515,0.000003152745,0.0000147189,0.04768506],"genre_scores_gemma":[0.9547527,0.00006775284,0.04472395,0.00002317516,0.000161481,3.596502e-7,0.000002409772,0.00001438386,0.0002537384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8689421,"threshold_uncertainty_score":0.160146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038494487","doi":"10.1287/opre.2013.1254","title":"Scheduled Service Network Design for Freight Rail Transportation","year":2014,"lang":"en","type":"article","venue":"Operations Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Computer science; Scheduling (production processes); Operations research; Service quality; Service (business); Transport engineering; Mathematical optimization; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.09823931024490097,"gpt":0.3258481696035426,"spread":0.2276088593586416,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000940713,0.00007080274,0.00008899775,0.00006172398,0.0003082146,0.0001068542,0.0001172885,0.00006878252,0.0003816689],"category_scores_gemma":[0.00009091991,0.00006806698,0.00002129587,0.0002873979,0.00002288775,0.00008947161,0.000004464447,0.0001599556,0.00006346999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002508807,"about_ca_system_score_gemma":0.00004050458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008021037,"about_ca_topic_score_gemma":0.0008932771,"domain_scores_codex":[0.999176,0.00007035631,0.0001591324,0.0001239862,0.0001780633,0.0002925242],"domain_scores_gemma":[0.9991968,0.0002103741,0.000003353334,0.0001834786,0.0003352414,0.00007076512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006390773,0.00001198018,0.00003122584,0.00004513353,0.00001113251,4.869493e-7,0.0001027157,0.9629896,0.000477583,0.02288648,0.01096895,0.002468317],"study_design_scores_gemma":[0.0002234732,0.00003914319,0.0004076103,0.00001264846,0.000006240663,3.740143e-7,0.00001976736,0.9488259,0.0007298762,0.001025832,0.04861778,0.00009137591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003959734,0.0000771137,0.9897795,0.0004495848,0.0001295816,0.0005313082,0.00001946698,0.00009788055,0.004955839],"genre_scores_gemma":[0.8718206,0.0000409285,0.125396,0.00008631618,0.0005087801,0.0004031654,0.000270425,0.00003885497,0.001435026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8678608,"threshold_uncertainty_score":0.4179007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793868487","doi":"10.1002/wcc.508","title":"Implications of climate change for shipping: Ports and supply chains","year":2018,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Climate change; Supply chain; Constructive; Adaptation (eye); Business; Environmental resource management; Port (circuit theory); Environmental planning; Process (computing); Natural resource economics; Economics; Geography; Engineering; Computer science; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.09702614468638895,"gpt":0.3363007972776372,"spread":0.2392746525912482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051685,0.0003220752,0.0006488864,0.0001455743,0.0002138882,0.00003379477,0.0002132217,0.0001211942,0.0002910032],"category_scores_gemma":[0.00002357619,0.0002844922,0.0001695204,0.0001814403,0.0001782417,0.0002249668,0.0004676641,0.0001153646,0.00003467964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004149334,"about_ca_system_score_gemma":0.000003831211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004918237,"about_ca_topic_score_gemma":0.00009102495,"domain_scores_codex":[0.9982182,0.00002760426,0.0007358961,0.000351607,0.00008449781,0.0005821955],"domain_scores_gemma":[0.998961,0.00005831807,0.0002102736,0.0005184344,0.00009584319,0.0001560743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001032188,0.0002946844,0.02649635,0.0154246,0.0001132024,0.00001696327,0.01714995,0.00000218989,0.000818738,0.02128999,0.02009682,0.8981933],"study_design_scores_gemma":[0.002657821,0.003492361,0.2009284,0.01946515,0.00116053,0.0004788839,0.001978098,0.03258535,0.0007009915,0.01028382,0.7220272,0.004241379],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2107948,0.3878857,0.01944397,0.02226373,0.01513166,0.04971379,0.02634973,0.004076729,0.2643399],"genre_scores_gemma":[0.7937512,0.1982332,0.001875279,0.0004398504,0.002006025,0.002986954,0.0005195584,0.0001358313,0.00005205746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8939519,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977435898","doi":"10.1057/palgrave.mel.9100152","title":"Port Selection and Multicriteria Analysis: An Application to the Montreal-New York Alternative","year":2006,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Port (circuit theory); Selection (genetic algorithm); Operations research; Set (abstract data type); Service (business); Computer science; Preference; Business; Telecommunications; Marketing; Economics; Engineering; Microeconomics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01079143971265891,"gpt":0.2083288257982131,"spread":0.1975373860855542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001917784,0.0002072258,0.0002645812,0.0001351689,0.0001125905,0.0001913884,0.0001790161,0.00009867065,0.00006619644],"category_scores_gemma":[0.00002261106,0.0002000265,0.0000525435,0.0001921837,0.00004389689,0.00007993662,0.00004442985,0.0001313741,0.00003463322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107492,"about_ca_system_score_gemma":0.00002075623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01023809,"about_ca_topic_score_gemma":0.02123606,"domain_scores_codex":[0.9989598,0.00001941706,0.0003810783,0.000316113,0.00005597734,0.0002676162],"domain_scores_gemma":[0.9993623,0.0000661798,0.00006895483,0.0003161586,0.00004802261,0.0001383537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001203131,0.00003857569,0.005119342,0.0000119712,0.0001606878,0.000002676486,0.000105595,0.9644705,0.00004292155,0.01271346,0.004044828,0.01327743],"study_design_scores_gemma":[0.0001611926,0.00003656088,0.03859201,0.000002340539,0.0002865045,0.000008222039,0.00002315616,0.9308332,0.00007139832,0.00708977,0.02261744,0.0002781564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03159401,0.000158267,0.9575025,0.0001998408,0.000282136,0.0004478309,0.0002160929,0.0002438821,0.009355415],"genre_scores_gemma":[0.9882727,0.00005705178,0.009831424,0.0001390403,0.000639558,0.00003627517,0.0003951753,0.00003612174,0.0005926433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9566787,"threshold_uncertainty_score":0.9966238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093570169","doi":"10.1016/j.jtrangeo.2012.06.002","title":"Stakeholder management and path dependence in large-scale transport infrastructure development: the port of Antwerp case (1960–2010)","year":2012,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Stakeholder; Port (circuit theory); Corporate governance; Stakeholder analysis; Process management; Strategic planning; Spatial planning; Path dependence; Business; Operations research; Management science; Economics; Engineering; Marketing; Environmental planning; Management; Geography; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.0112571608814763,"gpt":0.1933844423477946,"spread":0.1821272814663183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007024301,0.0002035542,0.000338092,0.0002995163,0.00005869634,0.00000784138,0.0001621137,0.00009825569,0.0001216478],"category_scores_gemma":[0.000001373648,0.0001467733,0.0001288983,0.0002862038,0.00007394147,0.0002197048,0.00000770084,0.0003784708,2.361661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001358685,"about_ca_system_score_gemma":0.00002147264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002403425,"about_ca_topic_score_gemma":0.0001656211,"domain_scores_codex":[0.9983755,0.00001276234,0.0007912539,0.000103957,0.0003438782,0.0003726092],"domain_scores_gemma":[0.9994339,0.00001753695,0.0001664831,0.0001685351,0.00005990692,0.0001536097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002486319,0.0001016306,0.9895905,0.0002672694,0.0001536993,0.001532663,0.002191636,0.0015856,0.00001694898,0.00004719749,0.00007866453,0.004409276],"study_design_scores_gemma":[0.0005382782,0.00002566214,0.9861977,0.00009623182,0.0001374967,0.001019937,0.0006621181,0.00005409499,0.0001259578,0.0000556945,0.01091172,0.0001751578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986149,0.002114846,0.01016652,0.00001785905,0.0003762184,0.0001704304,0.00004770041,0.00001635419,0.0009410361],"genre_scores_gemma":[0.9932953,0.0008189193,0.005746879,0.00003047734,0.00005410512,0.000003627459,0.000009608392,0.00002188463,0.00001927096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083305,"threshold_uncertainty_score":0.5985242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001478667","doi":"10.1287/trsc.2014.0533","title":"Scheduling Twin Yard Cranes in a Container Block","year":2014,"lang":"en","type":"article","venue":"Transportation Science","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Heuristics; Block (permutation group theory); Scheduling (production processes); Computer science; Container (type theory); Heuristic; Yard; Mathematical optimization; Truck; Travelling salesman problem; Job shop scheduling; Stacking; Schedule; Engineering; Algorithm; Mathematics; Automotive engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01053360702691465,"gpt":0.2270025886966646,"spread":0.21646898166975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559174,0.00006567804,0.00008664739,0.0001060503,0.00003996311,0.00002899404,0.0001142035,0.00002441352,0.00005794489],"category_scores_gemma":[0.00003068413,0.00006336147,0.0000153436,0.0003374773,0.00010002,0.000145519,0.000001024735,0.00007005174,0.00001206313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001532078,"about_ca_system_score_gemma":0.00002063679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007827198,"about_ca_topic_score_gemma":0.0004072588,"domain_scores_codex":[0.9993178,0.000004140389,0.0001820975,0.0001315561,0.0001858305,0.0001785685],"domain_scores_gemma":[0.9997644,0.00002665618,0.00001500831,0.00009748464,0.00004130314,0.00005512058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000007386526,0.00002893654,0.07170323,0.00009901835,0.000003339112,0.00001908845,0.001996485,0.8846431,0.0156799,0.01762286,0.00006104596,0.008135663],"study_design_scores_gemma":[0.0004560246,0.00002272639,0.6786185,0.00004294514,0.00000825831,0.000002119773,0.0001351442,0.3118376,0.003157745,0.000876195,0.004573625,0.0002691115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606985,0.00002750427,0.032747,0.00006995557,0.000167537,0.0000713508,0.00000330851,0.0001143967,0.006100392],"genre_scores_gemma":[0.9972559,0.000006779259,0.002589844,0.00005833509,0.0000246447,0.000005476256,0.000004234339,0.000006524291,0.00004831413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6069153,"threshold_uncertainty_score":0.2583806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2806571857","doi":"10.1287/trsc.2018.0822","title":"Column Generation for the Integrated Berth Allocation, Quay Crane Assignment, and Yard Assignment Problem","year":2018,"lang":"en","type":"article","venue":"Transportation Science","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Column generation; Yard; Heuristic; Computer science; Container (type theory); Mathematical optimization; Integer programming; Dual (grammatical number); Integer (computer science); Assignment problem; Branch and price; Key (lock); Linear programming; Operations research; Algorithm; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02673421821792907,"gpt":0.2523975719556721,"spread":0.225663353737743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004989147,0.00008694082,0.00007243388,0.00004244653,0.0002996069,0.0001030532,0.0001166652,0.00002940979,0.00008789295],"category_scores_gemma":[0.00001956518,0.00006475827,0.00001451032,0.0002435656,0.0003065148,0.0001876611,0.00000165776,0.00004503659,0.000003465126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003904203,"about_ca_system_score_gemma":0.00005927046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006132211,"about_ca_topic_score_gemma":0.0007205617,"domain_scores_codex":[0.9991875,0.000006452066,0.0002190968,0.0001872384,0.0002346746,0.0001650708],"domain_scores_gemma":[0.9995296,0.0000440589,0.000040345,0.0001266342,0.0002021067,0.00005726002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007523011,0.0001975233,0.01476208,0.0003072259,0.0001317155,0.000003949609,0.01553127,0.148033,0.5783652,0.05705605,0.02361746,0.1619193],"study_design_scores_gemma":[0.0006950609,0.0002320417,0.06806067,0.00003343496,0.00008747508,0.000002340831,0.0004145893,0.8410587,0.04748355,0.0007285972,0.04081514,0.0003883792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05402637,0.00006420742,0.9438466,0.0003695483,0.0002974491,0.0005860602,0.00004007377,0.00008935328,0.0006803432],"genre_scores_gemma":[0.9928635,0.00004389933,0.006499097,0.00009203957,0.00008132715,0.00009709007,0.00005862028,0.000009130044,0.000255279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9388372,"threshold_uncertainty_score":0.2640766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056877629","doi":"10.1080/00343400903365110","title":"Shifting Proximities: The Maritime Ports Sector in an Era of Global Supply Chains","year":2010,"lang":"en","type":"article","venue":"Regional Studies","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Port (circuit theory); Openness to experience; Economic geography; Supply chain; Geography; Political science; Regional science; Humanities; Economy; Sociology; Economics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02931162775350358,"gpt":0.2631492002138434,"spread":0.2338375724603398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624408,0.0001166515,0.0001866093,0.0000141584,0.00006435544,0.00001337642,0.000110801,0.00004988295,0.00005150883],"category_scores_gemma":[0.00005632421,0.00008430949,0.00003849903,0.00009930947,0.0001734885,0.00005470318,0.00004665834,0.000223322,0.000001370139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003354848,"about_ca_system_score_gemma":0.00002070111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653039,"about_ca_topic_score_gemma":0.00307486,"domain_scores_codex":[0.9993179,0.00001219739,0.0002108277,0.0001111695,0.0001539828,0.0001939263],"domain_scores_gemma":[0.9996435,0.00008559281,0.0000339052,0.0001458631,0.00005957816,0.00003157426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003360066,0.0002154446,0.788469,0.0005409404,0.0003401965,0.0001447208,0.005569915,0.003156731,0.0003398214,0.1719114,0.01370494,0.01557321],"study_design_scores_gemma":[0.0003881105,0.00008172993,0.9679834,0.0001531664,0.00003400315,0.00005746929,0.002281255,0.007483821,0.00007924395,0.008190894,0.01285913,0.0004078005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930694,0.001551941,0.00007045035,0.0009307057,0.0003591238,0.0001821292,0.00004144528,0.00008513527,0.003709639],"genre_scores_gemma":[0.9989926,0.0001717264,0.0004377299,0.00008265903,0.0002158658,0.00002078417,0.000007831258,0.00001112688,0.00005966279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795143,"threshold_uncertainty_score":0.3438041,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005892383","doi":"10.1016/j.jsis.2004.10.001","title":"A resource-based view of competitive advantage at the Port of Singapore","year":2005,"lang":"en","type":"article","venue":"The Journal of Strategic Information Systems","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Competitor analysis; Competitive advantage; Port (circuit theory); Resource (disambiguation); Natural resource; Quality (philosophy); Government (linguistics); Business; Position (finance); Investment (military); Industrial organization; Resource-based view; Environmental economics; Computer science; Marketing; Economics; Engineering; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.02153588358059211,"gpt":0.2229967679791055,"spread":0.2014608843985134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133698,0.00008443028,0.0002244264,0.00006642647,0.00004666327,0.00002072608,0.0001613998,0.0000387,0.00006896385],"category_scores_gemma":[0.00001152504,0.00004446258,0.00006481903,0.00009428169,0.00007564566,0.0002062067,0.0000110481,0.0001475109,0.000006344694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004917644,"about_ca_system_score_gemma":0.00005248153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145155,"about_ca_topic_score_gemma":0.000004260898,"domain_scores_codex":[0.998585,0.00005228882,0.0009436424,0.00001540695,0.0003109697,0.00009263061],"domain_scores_gemma":[0.9987489,0.0001128343,0.000736656,0.0001418456,0.0002304797,0.00002929913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001340698,0.00003158393,0.0001760183,0.001232489,0.0001518959,0.000004487938,0.00462181,0.9562761,0.0005744378,0.0314134,0.00243434,0.002949413],"study_design_scores_gemma":[0.003155597,0.0007758717,0.001374868,0.002713834,0.0004443197,0.001689705,0.08843087,0.3065698,0.009115006,0.0002488469,0.5848672,0.0006141312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2840791,0.003835466,0.01451605,0.0003929053,0.0006320146,0.0007503054,0.0001603618,0.00004892192,0.6955848],"genre_scores_gemma":[0.9996658,0.0000881048,0.00005321735,0.00003582092,0.00007877351,8.833132e-7,0.000009262342,0.000005052639,0.0000631177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7155866,"threshold_uncertainty_score":0.1813131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086183677","doi":"10.1016/j.trc.2015.03.026","title":"Modeling dry-port-based freight distribution planning","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Port (circuit theory); Integer programming; Computer science; Service (business); Operations research; Network planning and design; Integer (computer science); Bulk cargo; Transport engineering; Mathematical optimization; Engineering; Marine engineering; Computer network; Mathematics; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.1299009964121976,"gpt":0.3450167711140081,"spread":0.2151157747018106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007690734,0.0001785583,0.000192312,0.0002728742,0.0001782681,0.00005672452,0.0002864937,0.0002039903,0.00003951594],"category_scores_gemma":[0.000203763,0.0001776727,0.00004976935,0.0005964297,0.0001574981,0.0001610906,0.00001199317,0.0005848949,0.00002142239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072481,"about_ca_system_score_gemma":0.00007192049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001573666,"about_ca_topic_score_gemma":0.000074802,"domain_scores_codex":[0.9981307,0.00002663875,0.0003907447,0.0002640729,0.0006168241,0.0005710108],"domain_scores_gemma":[0.9991699,0.00005782696,0.00002686848,0.0003485066,0.0002985505,0.00009838903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001696359,0.0000283085,0.00744764,0.0001002359,0.00002252592,0.00007879455,0.0001939436,0.9713812,0.00007429114,0.004919604,0.01102867,0.004707772],"study_design_scores_gemma":[0.0003724663,0.00005860688,0.0005160771,0.0001181984,0.0000149898,4.369277e-7,0.001874032,0.9451836,0.002750094,0.005467013,0.04334161,0.000302877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453973,0.001503252,0.7407365,0.001235069,0.0004229732,0.0004927315,0.0002162803,0.00742372,0.002572234],"genre_scores_gemma":[0.9959948,0.00008643404,0.002889126,0.000005657114,0.0000541095,0.0001118609,0.0007714228,0.00003381602,0.00005275723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7505975,"threshold_uncertainty_score":0.7245284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005777882","doi":"10.3138/infor.49.2.109","title":"Liner Shipping Cargo Allocation with Repositioning of Empty Containers","year":2011,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Strategic Research Council; Danmarks Frie Forskningsfond","keywords":"Column generation; Solver; Mathematical optimization; Flow network; Linear programming relaxation; Rounding; Computer science; Flow (mathematics); Linear programming; Relaxation (psychology); Integer programming; Path (computing); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.06570098745531755,"gpt":0.2852097498314138,"spread":0.2195087623760962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007523317,0.00007057496,0.0001054795,0.0001924132,0.000133204,0.0001313952,0.00005765946,0.00005857883,0.00003801652],"category_scores_gemma":[0.00007330204,0.00005631035,0.00001188429,0.0001566685,0.0000673768,0.0009123055,0.00001822054,0.0001293475,0.000009532689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004146289,"about_ca_system_score_gemma":0.00007702617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006244697,"about_ca_topic_score_gemma":0.00002289954,"domain_scores_codex":[0.9989707,0.00002062151,0.0004194214,0.00005031314,0.0003972012,0.0001417312],"domain_scores_gemma":[0.9989592,0.00005564197,0.00004948367,0.0001019276,0.0007740503,0.00005968359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000245345,0.00004868926,0.02941783,0.002418514,0.000278509,0.000009962065,0.02640162,0.2074239,0.0008854095,0.7139318,0.0057215,0.01321691],"study_design_scores_gemma":[0.00182789,0.0005614986,0.0460672,0.0007524047,0.00002743327,0.0001930774,0.01329984,0.860386,0.004155427,0.0001785411,0.07184538,0.0007053403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3391963,0.0004014006,0.1426494,0.0001126733,0.0004217714,0.001711635,0.0001042936,0.0002155299,0.515187],"genre_scores_gemma":[0.9986457,0.00002638522,0.0009235172,0.00002053942,0.00004241899,0.00005830292,0.0001179775,0.000005691299,0.0001594658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7137533,"threshold_uncertainty_score":0.2296269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2040020210","doi":"10.1108/09600030310460990","title":"Comparison of Asian and European logistics systems","year":2003,"lang":"en","type":"article","venue":"International Journal of Physical Distribution & Logistics Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Context (archaeology); Business; Ranking (information retrieval); Excellence; Tier 2 network; Tier 1 network; Cluster (spacecraft); Operations management; Marketing; Industrial organization; Computer science; Geography; Political science; Economics; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.02101054733202137,"gpt":0.2838451124705828,"spread":0.2628345651385615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002657968,0.0001288275,0.0002575835,0.00006709816,0.00002539495,0.0000659084,0.0002170367,0.00002673761,0.00001435824],"category_scores_gemma":[0.0001556117,0.000117209,0.00007409359,0.00006656238,0.0001163789,0.00005166151,0.00004961041,0.0001599696,0.000005528567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009439483,"about_ca_system_score_gemma":0.000008128752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002648826,"about_ca_topic_score_gemma":4.259757e-7,"domain_scores_codex":[0.9987445,0.0000572359,0.0005576962,0.00008842652,0.0004200455,0.0001320692],"domain_scores_gemma":[0.9991679,0.00006509195,0.0002607325,0.0001035654,0.0003199044,0.00008285377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001856294,0.0003744484,0.001368113,0.0001593553,0.0003915899,0.0001457116,0.00007525738,0.1868413,0.0001261793,0.7948459,0.005441328,0.01021218],"study_design_scores_gemma":[0.004006323,0.001163451,0.05134368,0.0008400555,0.001226476,0.0002331896,0.002315274,0.459725,0.002393189,0.03880538,0.4365455,0.001402482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002413619,0.0001880955,0.9547771,0.00004703873,0.001086926,0.00008410517,0.0001919141,0.0000247843,0.04118637],"genre_scores_gemma":[0.9990136,0.00009518041,0.0005590892,0.000007664722,0.0001961208,9.874749e-7,0.00006701018,0.00001205023,0.00004827921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9966,"threshold_uncertainty_score":0.4779646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323662735","doi":"10.1186/s12544-023-00581-6","title":"Smart port: a systematic literature review","year":2023,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Port (circuit theory); Sustainability; Work (physics); Triple bottom line; Systematic review; Business; Engineering; Process management; Risk analysis (engineering); Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.08405957211872643,"gpt":0.3246007495478724,"spread":0.2405411774291459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007987725,0.0002624109,0.0007907308,0.0001860718,0.0001043354,0.000047572,0.0005216787,0.00003884414,0.0008188362],"category_scores_gemma":[0.0003258547,0.0002009325,0.0002473767,0.002132802,0.00006811656,0.00009969794,0.00003756602,0.0007558797,0.003764627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003328108,"about_ca_system_score_gemma":0.00003233418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002217632,"about_ca_topic_score_gemma":0.000003459754,"domain_scores_codex":[0.9966717,0.0006048789,0.0009087464,0.0003315912,0.000815542,0.0006674801],"domain_scores_gemma":[0.9984652,0.0001142368,0.00004912673,0.0008680177,0.0002364473,0.0002669446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[5.362405e-7,0.00001044858,0.00005159845,0.8291208,0.00003555148,0.002734683,0.00003348269,0.00000571671,0.000004350225,0.0002442348,0.165023,0.002735672],"study_design_scores_gemma":[0.00005066835,0.00001929458,0.0008811766,0.5448475,0.000089879,0.00004937077,0.000002530367,0.00005476022,0.000001539502,0.0000126714,0.4537924,0.0001981206],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001876067,0.8692198,0.00009796397,0.0005993138,0.0001770595,0.001768898,0.00004020682,0.0006854113,0.1273926],"genre_scores_gemma":[0.004174624,0.9880221,0.0000636698,0.000600295,0.0001266859,0.0001290798,0.000387585,0.000107433,0.006388541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2887695,"threshold_uncertainty_score":0.9970111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035083417","doi":"10.1007/s10708-007-9092-x","title":"What conditions supply chain strategies of ports? The case of Dubai","year":2007,"lang":"en","type":"article","venue":"GeoJournal","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; American University of Sharjah","keywords":"Port (circuit theory); Competition (biology); Supply chain; Business; Industrial organization; Competitive advantage; Empirical research; Operator (biology); Supply chain management; Marketing; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01066412389767018,"gpt":0.2457782026669066,"spread":0.2351140787692364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003815318,0.00006612622,0.0001087862,0.00005444972,0.00005391464,0.00003813912,0.00006618231,0.00003749061,0.000843469],"category_scores_gemma":[0.00001281554,0.00004797881,0.00004992781,0.00006969977,0.00008572062,0.0001457215,0.00001150778,0.0001510236,0.000001703121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008768574,"about_ca_system_score_gemma":0.00002302292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002388,"about_ca_topic_score_gemma":0.000238393,"domain_scores_codex":[0.9994316,0.000008379035,0.000285507,0.00004035184,0.00008142229,0.0001527245],"domain_scores_gemma":[0.9996346,0.00007049365,0.0000688463,0.000120509,0.00005917549,0.00004633845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007184111,0.000462663,0.01104944,0.0008913409,0.0009009746,0.0279895,0.01004302,0.3480425,0.01021224,0.4236249,0.04470584,0.1220058],"study_design_scores_gemma":[0.004812083,0.001055201,0.2990353,0.001767275,0.001039716,0.1186344,0.2693319,0.08953161,0.04468298,0.1070336,0.06056618,0.00250966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564087,0.001466203,0.01750222,0.000215573,0.000949285,0.0001223433,0.00007261411,0.00004275515,0.0232203],"genre_scores_gemma":[0.9993651,0.0001999401,0.0001830987,0.00001431937,0.0001083202,8.115277e-7,0.000006684565,0.000008230657,0.0001135207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3165913,"threshold_uncertainty_score":0.9235394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1943991695","doi":"10.1002/atr.1193","title":"Improved rehandling strategies for the container retrieval process","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Container (type theory); Heuristics; Flexibility (engineering); Computer science; Reliability (semiconductor); Operations research; Process (computing); Branch and bound; Heuristic; Work (physics); Mathematical optimization; Volume (thermodynamics); Sequence (biology); Transport engineering; Engineering; Algorithm; Mathematics; Mechanical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01190612166043197,"gpt":0.2571735869277598,"spread":0.2452674652673278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030661,0.00007043313,0.0001122948,0.00002773094,0.00004328379,0.00001804752,0.00005464578,0.00003369185,0.00001208201],"category_scores_gemma":[0.00002347933,0.00004704919,0.00005953335,0.00005575363,0.00001476816,0.0004395836,2.498984e-7,0.0001148001,1.185336e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528675,"about_ca_system_score_gemma":0.00002524583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001009776,"about_ca_topic_score_gemma":0.000008450004,"domain_scores_codex":[0.9994359,0.000002840947,0.0002984213,0.00003054034,0.00009683178,0.0001354913],"domain_scores_gemma":[0.9995432,0.00008586463,0.0001191635,0.00004448779,0.000165851,0.00004143053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005144236,0.0000489886,0.001137723,0.0003878476,0.0001343556,0.000004214528,0.004915376,0.958079,0.01895333,0.002925831,0.0001152727,0.01278366],"study_design_scores_gemma":[0.02118528,0.002973993,0.5067796,0.001027865,0.003285924,0.0001943238,0.08180684,0.1230683,0.1191188,0.03067058,0.1069874,0.002901173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4296159,0.002085896,0.5665445,0.00008166096,0.001198736,0.0002582774,0.00001749496,0.0000373675,0.0001602057],"genre_scores_gemma":[0.9960974,0.0001186185,0.003385645,0.00001641719,0.0003402307,0.000003973296,0.000008089527,0.00001444904,0.00001518531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8350106,"threshold_uncertainty_score":0.191861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969301650","doi":"10.1016/j.rtbm.2013.06.001","title":"Stakeholder management for establishing sustainable regional port governance","year":2013,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Port (circuit theory); Business; Corporate governance; China; Stakeholder; Scope (computer science); Competition (biology); Environmental planning; Finance; Geography; Political science; Public relations; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07082630149784486,"gpt":0.2892077830593701,"spread":0.2183814815615252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138922,0.000174778,0.0001729595,0.0003334829,0.0001253055,0.000213626,0.0002754308,0.00006022237,0.000256041],"category_scores_gemma":[0.0000108029,0.0001866566,0.00003783593,0.0009791754,0.00005826135,0.0007646426,0.00001940471,0.0001803157,0.00001637582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002555058,"about_ca_system_score_gemma":0.000019382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007542057,"about_ca_topic_score_gemma":0.0002570629,"domain_scores_codex":[0.9976605,0.00001651496,0.0004474582,0.0003380761,0.0006918581,0.0008455906],"domain_scores_gemma":[0.9990806,0.00007814867,0.00004152152,0.0002927335,0.0004134492,0.00009355032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008842124,0.0003624838,0.003742132,0.01326745,0.0002007312,0.001195297,0.0004483886,0.1394023,0.00002556056,0.5613262,0.08724679,0.1926943],"study_design_scores_gemma":[0.0009494968,0.00001131496,0.7846215,0.0002423031,0.00002224471,7.384701e-7,0.001885295,0.003018661,0.00001868985,0.01067925,0.1982372,0.0003132581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1763169,0.003079673,0.4840491,0.009683317,0.001562417,0.0241073,0.0001811821,0.001368456,0.2996516],"genre_scores_gemma":[0.9825579,0.001823801,0.006004122,0.00004675236,0.0000803717,0.001301725,0.0003222757,0.00006048514,0.00780258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.806241,"threshold_uncertainty_score":0.7611635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572383061","doi":"10.4324/9781315246376","title":"Ports, Cities, and Global Supply Chains","year":2017,"lang":"en","type":"book","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Supply chain; Context (archaeology); Economy; Supply chain management; Engineering; Business; Economic geography; Operations research; Management; Economics; History; Marketing; Archaeology; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01140994599223203,"gpt":0.2041423013477508,"spread":0.1927323553555188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004634691,0.000226702,0.0002674062,0.00002371316,0.00005671483,0.00009853424,0.0001286597,0.0002659072,0.001516596],"category_scores_gemma":[0.000008866923,0.0002150164,0.00004283743,0.000005046244,0.00008726861,0.0000317725,0.0000632563,0.0001626572,0.00002404965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008433555,"about_ca_system_score_gemma":0.00008079962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009193352,"about_ca_topic_score_gemma":0.0002044525,"domain_scores_codex":[0.9993787,0.000001571078,0.000155247,0.0001556958,0.0001106719,0.0001981231],"domain_scores_gemma":[0.9994993,0.00001018031,0.00003562602,0.0003370936,0.00001865527,0.0000991421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[6.338194e-7,0.000001917851,0.0002317857,0.0001859104,0.00004547638,0.0001281332,0.000008425034,0.0000173133,5.105387e-8,0.1029396,0.8815106,0.01493018],"study_design_scores_gemma":[0.00007118939,0.000009571153,0.0006685678,0.00005359365,0.00003342455,0.00004285138,0.000002401034,0.0006984581,4.131156e-7,0.006190413,0.991946,0.0002830742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003661897,0.001772151,0.0009353126,0.00002838002,0.0005463843,0.000097401,0.0003838767,0.0002371093,0.9959957],"genre_scores_gemma":[0.001977474,0.001113103,0.0003162463,0.00006122462,0.0004467115,0.000003683289,0.0002912344,0.00003518044,0.9957551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1104355,"threshold_uncertainty_score":0.9993961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994453976","doi":"10.1177/0891242404269500","title":"“We’d Have to Sink the Ships”: Impact Studies and the 2002 West Coast Port Lockout","year":2004,"lang":"en","type":"article","venue":"Economic Development Quarterly","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Port (circuit theory); Economic impact analysis; Economics; West coast; Business; Natural resource economics; Microeconomics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01814686508578305,"gpt":0.2363329588876678,"spread":0.2181860938018847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004039038,0.0002181935,0.0002577231,0.00005864047,0.0002002584,0.0001296541,0.0001792195,0.00004461193,0.0002144922],"category_scores_gemma":[0.00001065474,0.0001278199,0.00004492981,0.00002930041,0.0001078903,0.0000758924,0.00002828353,0.0001315765,0.0004807297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004525,"about_ca_system_score_gemma":0.0001223983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006996148,"about_ca_topic_score_gemma":0.01193894,"domain_scores_codex":[0.9990582,0.00001389727,0.0003579906,0.0001785763,0.00006178278,0.0003295662],"domain_scores_gemma":[0.999513,0.00007970615,0.00003977544,0.0002258221,0.00001787808,0.000123869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002004428,0.0001013194,0.01596156,0.0003291138,0.003332349,0.0001535211,0.3006327,0.09347115,0.00002198754,0.02255979,0.1293727,0.4338634],"study_design_scores_gemma":[0.01008544,0.0008575438,0.3214403,0.0005337023,0.0002895199,0.0004675594,0.05324491,0.00606818,0.0003556038,0.02051527,0.5822188,0.00392317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556026,0.003916828,0.003308377,0.007736946,0.001805618,0.001291013,0.00004586024,0.0002767605,0.02601597],"genre_scores_gemma":[0.9978127,0.0001134654,0.0007188933,0.0002408731,0.0001200011,0.00004979816,0.000005483103,0.00002472457,0.0009140778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4528461,"threshold_uncertainty_score":0.666221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1963987010","doi":"10.1016/j.jtrangeo.2012.05.003","title":"Institutions, bureaucratic and logistical roles of dry ports: the Brazilian experiences","year":2012,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Bureaucracy; Business; Order (exchange); Industrial organization; Economic geography; Economics; Political science; Politics; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01382398431084911,"gpt":0.2344476454573726,"spread":0.2206236611465235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003161286,0.0001040177,0.0002148131,0.0001197105,0.00005776952,0.00001075014,0.0001188985,0.00005625508,0.00009436905],"category_scores_gemma":[0.00001543163,0.00006525154,0.0001265916,0.0001359175,0.0003584318,0.0001660743,0.000004274045,0.0001770103,2.659037e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003957134,"about_ca_system_score_gemma":0.00002017224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696356,"about_ca_topic_score_gemma":0.00001753262,"domain_scores_codex":[0.9991121,0.00001112748,0.0004549322,0.00004547037,0.0002018177,0.0001745349],"domain_scores_gemma":[0.9995859,0.00004114984,0.00009694245,0.0001024786,0.00005274976,0.0001207884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002192233,0.0001383949,0.9841597,0.00013606,0.0001678017,0.00004411213,0.003173751,0.001513782,0.00008534039,0.004724068,0.000345749,0.005489316],"study_design_scores_gemma":[0.0003716828,0.0001466552,0.9583912,0.0001332752,0.0003445807,0.0001679977,0.003564593,0.000288755,0.0004016413,0.0009361858,0.03499027,0.0002631487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638609,0.0115808,0.01995618,0.0001278176,0.0006556942,0.00008944507,0.00001556597,0.00002501443,0.003688559],"genre_scores_gemma":[0.9979084,0.0007480692,0.001147745,0.00003292656,0.0001468442,0.000002687901,0.000002643919,0.000006838074,0.000003838165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03464452,"threshold_uncertainty_score":0.2660881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3002300520","doi":"10.1080/01441647.2020.1714789","title":"Modal shift from road haulage to short sea shipping: a systematic literature review and research directions","year":2020,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Haulage; Port (circuit theory); Legislation; Dimension (graph theory); Transport engineering; Business; Modal; Scope (computer science); Industrial organization; Operations management; Operations research; Computer science; Engineering; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.071230024287102,"gpt":0.3105537264094285,"spread":0.2393237021223265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008947718,0.0002510573,0.001017822,0.00006483382,0.00008463274,0.00006198652,0.0002061918,0.00009522568,0.000273922],"category_scores_gemma":[0.0001409167,0.0002003158,0.0001440398,0.0006651733,0.00002898565,0.00009638951,0.00001829171,0.000484714,0.00008787618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002728685,"about_ca_system_score_gemma":0.0000143878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005028255,"about_ca_topic_score_gemma":0.0000961062,"domain_scores_codex":[0.9981878,0.0001374218,0.0007459184,0.0003554548,0.0002634923,0.0003098629],"domain_scores_gemma":[0.9990839,0.00005112094,0.00002652568,0.0004021881,0.00005730475,0.0003789398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001220211,0.00006550526,0.002808281,0.9473712,0.0002180209,0.0004282983,0.00559171,0.0001474256,0.0001743038,0.0004725961,0.02279805,0.01991238],"study_design_scores_gemma":[0.0001731364,0.0001026806,0.01198802,0.1393746,0.001140214,0.00002894963,0.00003063595,0.001868355,0.00002837411,0.0001355211,0.8441803,0.0009491466],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001225632,0.9847867,0.003970249,0.001552499,0.0001183741,0.003080308,0.0001908947,0.0002568208,0.004818557],"genre_scores_gemma":[0.2808945,0.7140871,0.001788685,0.001669382,0.0003147397,0.0006176587,0.0002791006,0.00008086572,0.0002679867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8213823,"threshold_uncertainty_score":0.816864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789642493","doi":"10.1080/01441647.2018.1441923","title":"From hierarchy to networking: the evolution of the “twenty-first-century Maritime Silk Road” container shipping system","year":2018,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"FP7 Ideas: European Research Council; Fundamental Research Funds for the Central Universities; European Commission; Ministry of Education, India; East China Normal University; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"China; Economic geography; Port (circuit theory); Container (type theory); Dominance (genetics); Geography; Transport engineering; Economy; Business; Telecommunications; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01708655278564691,"gpt":0.2178363700176127,"spread":0.2007498172319657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978172,0.0002199182,0.0004537938,0.00003287819,0.0001468114,0.00001735878,0.0004098021,0.00008662482,0.0002145903],"category_scores_gemma":[0.00001653936,0.0001280776,0.0002089854,0.0002916236,0.00009990794,0.00004631457,0.00002486582,0.0002054801,0.0000500795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420132,"about_ca_system_score_gemma":0.00002306941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460104,"about_ca_topic_score_gemma":0.001008374,"domain_scores_codex":[0.9984933,0.00007261997,0.0006994705,0.0002122329,0.0002143483,0.0003080427],"domain_scores_gemma":[0.9990618,0.0000436933,0.0001100374,0.0006423769,0.00005738195,0.00008477333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003931817,0.0004601952,0.2289389,0.0136509,0.001463854,0.0001253637,0.02099304,0.025901,0.002527491,0.05838947,0.1023879,0.5447687],"study_design_scores_gemma":[0.0001711793,0.00002549172,0.03889846,0.001205597,0.0001567492,0.000004539259,0.0001058636,0.004774978,0.00002953432,0.00007137751,0.9543343,0.0002219375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1861423,0.2845402,0.3170291,0.002800071,0.02379053,0.01515273,0.0006185769,0.001742175,0.1681843],"genre_scores_gemma":[0.9968578,0.001206652,0.0003536113,0.000129701,0.001149278,0.00005783078,0.00002339207,0.0000340603,0.0001876448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519464,"threshold_uncertainty_score":0.5222855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099189023","doi":"10.1002/nav.20471","title":"The quay crane scheduling problem with time windows","year":2011,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Deutscher Akademischer Austauschdienst","keywords":"Computer science; Scheduling (production processes); Operations research; Job shop scheduling; Heuristic; Operations management; Engineering; Artificial intelligence; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.09112287755150374,"gpt":0.2983304974547226,"spread":0.2072076199032189,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002217779,0.0002386912,0.0002436013,0.0001262962,0.0005025265,0.0001960809,0.0006161429,0.0001638985,0.0004668113],"category_scores_gemma":[0.0009177012,0.0001551275,0.00005223604,0.0003951057,0.0007271983,0.00007841037,0.0001572145,0.001114487,0.0005468371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115216,"about_ca_system_score_gemma":0.000156085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002809147,"about_ca_topic_score_gemma":0.0001461904,"domain_scores_codex":[0.9972072,0.0001257619,0.0003582608,0.0003074323,0.000931525,0.00106984],"domain_scores_gemma":[0.9978136,0.0007717606,0.00004069039,0.0006210863,0.0004837758,0.000269115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002160326,0.001316967,0.01033444,0.002195835,0.001553799,0.003934612,0.005328829,0.1304969,0.00687091,0.5447414,0.09047636,0.2005896],"study_design_scores_gemma":[0.003280385,0.002975124,0.006515722,0.0006195341,0.0002025885,0.0002398642,0.001064625,0.5632393,0.007745051,0.09299299,0.3184145,0.002710265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00724678,0.001787442,0.111778,0.0003552733,0.0004718654,0.00163702,0.00008676299,0.0008918418,0.875745],"genre_scores_gemma":[0.9778554,0.0003729888,0.01594659,0.00002086104,0.0003036313,0.00007999524,0.00002079261,0.00009374708,0.005305937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9706087,"threshold_uncertainty_score":0.7028667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908456107","doi":"10.1016/j.trb.2018.11.011","title":"Fleet deployment and demand fulfillment for container shipping liners","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Software deployment; Container (type theory); Operations research; Yard; Integer programming; Revenue; Fuel efficiency; Fleet management; Computer science; Linear programming; Port (circuit theory); Limiting; Transport engineering; Mathematical optimization; Engineering; Automotive engineering; Business; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.4117777549196369,"gpt":0.4588737603502428,"spread":0.04709600543060588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003450989,0.0001270454,0.0002346346,0.00008814465,0.0001621692,0.00003844368,0.00008805822,0.0001210782,0.0003664988],"category_scores_gemma":[0.0003470481,0.0001016043,0.00004637658,0.0001255061,0.000268628,0.00004965837,0.000006644056,0.0002036086,0.000007048644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002775404,"about_ca_system_score_gemma":0.00001667716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003052377,"about_ca_topic_score_gemma":0.0001621787,"domain_scores_codex":[0.9984812,0.0002340108,0.0003157771,0.0002600697,0.0002774985,0.0004314679],"domain_scores_gemma":[0.9982189,0.001259168,0.0000199141,0.0001282954,0.0001986416,0.0001751015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004317013,0.0008843621,0.1079488,0.003835047,0.00140954,0.0004275965,0.01141761,0.02823076,0.04759998,0.3155043,0.1724338,0.3059912],"study_design_scores_gemma":[0.004316382,0.002617274,0.1847521,0.0001811178,0.0001600199,0.00000947123,0.001377769,0.06859661,0.02189291,0.02508217,0.6898217,0.001192535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3101066,0.0003940485,0.685297,0.0006248293,0.0002977671,0.0009832628,0.00007712697,0.0002628852,0.001956501],"genre_scores_gemma":[0.9192137,0.000290632,0.07921536,0.0001273612,0.0003788921,0.0002727767,0.00009709976,0.00002728688,0.0003769047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6091071,"threshold_uncertainty_score":0.4143303,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W578975173","doi":"","title":"Integrating Seaports and Trade Corridors","year":2010,"lang":"en","type":"book","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Port (circuit theory); Gateway (web page); Supply chain; Value (mathematics); Multimodal transport; Default gateway; Benchmarking; Engineering; Economy; Operations research; Management; Business; Economic geography; Geography; Transport engineering; Economics; Computer science; Marketing; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.005624873721462692,"gpt":0.1734992022875356,"spread":0.1678743285660729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005858947,0.0002102598,0.0002269004,0.00004961582,0.00002666124,0.00004410329,0.00006055562,0.0003501379,0.001336305],"category_scores_gemma":[0.00001448061,0.0001808444,0.0000373336,0.0000121271,0.00004853326,0.00002341372,0.00002137851,0.0006731772,0.00001013322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002178388,"about_ca_system_score_gemma":0.00003694131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000159299,"about_ca_topic_score_gemma":0.000120171,"domain_scores_codex":[0.999431,0.000001842327,0.0001918379,0.0001394308,0.00008735943,0.0001485652],"domain_scores_gemma":[0.9996812,0.00003883252,0.00002699089,0.0001579267,0.000008044437,0.00008698511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[7.084791e-7,0.000004745504,0.00007390298,0.0003499912,0.00004633719,0.0001162612,0.000102838,0.0001054956,0.00001965734,0.01843237,0.9075565,0.07319121],"study_design_scores_gemma":[0.00004171893,0.000009026068,0.00005247271,0.00005395032,0.00003014584,0.00004567641,0.000007658685,0.007123497,0.00001654605,0.001805287,0.9905381,0.000275928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002031298,0.0002592644,0.001995919,0.00002018318,0.0006805839,0.0000938672,0.00002387788,0.0002998111,0.9966062],"genre_scores_gemma":[0.004086792,0.0001731826,0.002929343,0.0001086877,0.0004619799,0.000005072311,0.0001538258,0.00008564989,0.9919955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08298161,"threshold_uncertainty_score":0.9995766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2398959625","doi":"10.1080/03088839.2016.1237783","title":"Internalization of port congestion: strategic effect behind shipping line delays and implications for terminal charges and investment","year":2016,"lang":"en","type":"article","venue":"Maritime Policy & Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Manitoba","funders":"Research Grants Council, University Grants Committee","keywords":"Terminal (telecommunication); Profit (economics); Stackelberg competition; Microeconomics; Business; Economics; Computer science; Industrial organization; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02214731646923747,"gpt":0.2693439331705438,"spread":0.2471966167013063,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692758,0.0001383889,0.0001642471,0.000143981,0.00004669725,0.00003744012,0.00006487221,0.00004346516,0.00003138716],"category_scores_gemma":[0.00001725811,0.0001133608,0.0000263709,0.00004769268,0.0000680292,0.00006704833,0.0000673511,0.00003043926,0.000001153003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417577,"about_ca_system_score_gemma":0.00000651138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005455402,"about_ca_topic_score_gemma":0.00001652384,"domain_scores_codex":[0.9993337,0.00001298187,0.0002472614,0.000166303,0.00006231634,0.0001774135],"domain_scores_gemma":[0.9996304,0.00006368435,0.00005262876,0.0001485472,0.00003076787,0.00007396912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003299727,0.00005927351,0.01114548,0.001766634,0.0002475451,0.000009733639,0.0001038702,0.0002652015,0.0009010894,0.7393486,0.0009292079,0.2451904],"study_design_scores_gemma":[0.007637035,0.001645313,0.5674043,0.00212964,0.001311825,0.0002282014,0.000106155,0.04098043,0.003506174,0.3399502,0.03314631,0.001954471],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4287224,0.002692319,0.4251724,0.008971487,0.0004938766,0.00554426,0.00091428,0.000687818,0.1268012],"genre_scores_gemma":[0.9975349,0.0004084521,0.001125582,0.0001272823,0.00011367,0.0001318635,0.00003522911,0.0000206205,0.000502412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5688125,"threshold_uncertainty_score":0.462272,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029882366","doi":"10.1111/j.1944-8287.2003.tb00218.x","title":"Regional Institutional Convergence? Reflections from the Baltimore Waterfront","year":2003,"lang":"en","type":"article","venue":"Economic Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Assertion; Institutional change; Convergence (economics); Diversity (politics); Port (circuit theory); Politics; Optimal distinctiveness theory; Face (sociological concept); Process (computing); Political economy; Economic system; Economics; Sociology; Political science; Economic geography; Public administration; Law; Economic growth; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.02345493315144617,"gpt":0.2157048233175996,"spread":0.1922498901661534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000802958,0.0001017544,0.00008838019,0.00004161442,0.0001628669,0.00003350046,0.0001073617,0.00004970809,0.00300073],"category_scores_gemma":[0.000005336421,0.00008159813,0.00008829856,0.00004080475,0.0001116452,0.00006032789,0.00000973326,0.0001133928,0.0002094591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003442543,"about_ca_system_score_gemma":0.00002799952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004918384,"about_ca_topic_score_gemma":0.0003928947,"domain_scores_codex":[0.9994826,0.00001372542,0.0001670425,0.0001349322,0.0000400067,0.0001617225],"domain_scores_gemma":[0.999693,0.00003675923,0.00001884906,0.0001877386,0.00001006321,0.00005363108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001327789,0.00007218332,0.295402,0.00001978406,0.0006027797,0.00001722162,0.0004995991,0.2444029,0.0001030014,0.2014824,0.2545256,0.002859205],"study_design_scores_gemma":[0.0001555977,0.000007411683,0.06865589,0.000004731821,0.00001764358,0.00001132779,0.00004614087,0.003495653,0.00008635197,0.008562406,0.9187911,0.0001657948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5624566,0.003891789,0.02289312,0.00152546,0.01074091,0.000539824,0.0005809752,0.0007182829,0.396653],"genre_scores_gemma":[0.9980082,0.0001993726,0.001157629,0.0002187322,0.0002021981,0.00002256484,0.00007800509,0.00001091669,0.0001023624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642655,"threshold_uncertainty_score":0.9979107,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033785779","doi":"10.1080/03088839.2011.572702","title":"A systematic approach for evaluating port effectiveness","year":2011,"lang":"en","type":"article","venue":"Maritime Policy & Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Dalhousie University","funders":"","keywords":"Port (circuit theory); Business; Service (business); Perspective (graphical); Service delivery framework; Process management; Computer science; Knowledge management; Marketing; Operations management; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04499421134744562,"gpt":0.2803072286533848,"spread":0.2353130173059392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030415,0.0002479744,0.0003795115,0.0002218235,0.00008916516,0.00005405425,0.0002382434,0.00006704371,0.00009307361],"category_scores_gemma":[0.00007301955,0.0002409977,0.0001272951,0.0001876832,0.00003258601,0.00006891079,0.0001079586,0.00008184747,0.00002931756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299072,"about_ca_system_score_gemma":0.0000116903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001490501,"about_ca_topic_score_gemma":0.000001928044,"domain_scores_codex":[0.9985751,0.00006533527,0.0004149489,0.0002677923,0.0002191712,0.0004576744],"domain_scores_gemma":[0.9992972,0.00008496518,0.00005800791,0.000416422,0.00004998305,0.00009342374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001116258,0.0006270937,0.0007561152,0.3775918,0.002266802,0.00009724232,0.001148821,0.01587819,0.00006916711,0.5536749,0.004944702,0.04283353],"study_design_scores_gemma":[0.003832495,0.0004476686,0.03550205,0.00502044,0.002092802,0.00007822012,0.0006296607,0.9018545,0.0005729156,0.04627968,0.001291889,0.002397639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007535392,0.0001996733,0.421786,0.00001188354,0.0001792478,0.003450394,0.00002571017,0.0005308878,0.5730627],"genre_scores_gemma":[0.941453,0.00002157398,0.05424922,0.0000936183,0.0001560368,0.002214677,0.00004889372,0.00009030674,0.001672638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9406995,"threshold_uncertainty_score":0.98276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1977018042","doi":"10.1080/03088830500139729","title":"The Caribbean basin: adjusting to global trends in containerization","year":2005,"lang":"en","type":"article","venue":"Maritime Policy & Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Concordia University; Saint Mary's University","funders":"","keywords":"Port (circuit theory); Restructuring; Containerization; Service (business); Structural basin; Geography; Global network; Economic geography; Business; Economy; Container (type theory); Telecommunications; Computer science; Engineering; Geology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.008678345350842121,"gpt":0.2484506946284654,"spread":0.2397723492776233,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203409,0.0001748161,0.0001462963,0.0001915921,0.0001060845,0.0001277837,0.0002181997,0.0000449856,0.0001222753],"category_scores_gemma":[0.00002839143,0.0001601266,0.00004415355,0.0006696042,0.00002513143,0.00006706697,0.0001465006,0.00008966085,0.00005618702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947347,"about_ca_system_score_gemma":0.000007004568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346757,"about_ca_topic_score_gemma":0.002346596,"domain_scores_codex":[0.9988154,0.00002277005,0.0003123673,0.0001854888,0.0001800837,0.0004838947],"domain_scores_gemma":[0.9995499,0.00002358759,0.00002275521,0.000282302,0.00001894599,0.0001025287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006542009,0.00002053286,0.0009605463,0.00002873817,0.00002619683,0.00002022828,0.00007794184,0.04428343,0.000001888799,0.08749766,0.01775274,0.8493236],"study_design_scores_gemma":[0.0006136605,0.00002919568,0.1216975,0.00004532882,0.00004014262,0.000006944136,0.0002246529,0.08122137,0.00001629934,0.001132133,0.7945457,0.0004270859],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004807208,0.0001990096,0.0121532,0.01168584,0.0003097854,0.000477906,0.00006702125,0.0004650319,0.969835],"genre_scores_gemma":[0.9928494,0.00005889968,0.001802457,0.001097159,0.0004596146,0.00005887462,0.00003880301,0.00002702394,0.00360777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9880422,"threshold_uncertainty_score":0.6529771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4230042125","doi":"10.1108/9780080435930-009","title":"Intermodal Transportation","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Business; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01368234422384763,"gpt":0.1748041068811345,"spread":0.1611217626572869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000008807054,0.0001344452,0.0001310866,0.00003910447,0.00001111026,0.000005654368,0.00004447683,0.0001554528,0.005089414],"category_scores_gemma":[5.402258e-7,0.0001308701,0.00005914606,0.000003050518,0.00002117251,0.00001604847,0.000001466533,0.0001442038,0.0001276361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001621905,"about_ca_system_score_gemma":0.000006003969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007729142,"about_ca_topic_score_gemma":0.00004385997,"domain_scores_codex":[0.9996235,2.951273e-7,0.0001523367,0.00007938013,0.00007170226,0.00007274802],"domain_scores_gemma":[0.9998338,0.000006054689,0.00001341815,0.00009930092,0.00001432187,0.00003314223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000563913,0.000007938764,0.00001595082,0.00030978,0.0001858881,0.0005096919,0.0002637958,0.00268611,0.000009190584,0.4124165,0.4901293,0.09346024],"study_design_scores_gemma":[0.00004441318,0.000008610348,0.00007791533,0.00002478271,0.00001938033,0.000007275718,6.92038e-7,0.001043797,0.00001263988,0.001552149,0.9970019,0.0002064095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000500631,0.0002058859,0.007640944,0.000005586769,0.0002486042,0.00005014609,0.00004288213,0.0002579369,0.991543],"genre_scores_gemma":[0.02338978,0.0010745,0.0005028967,0.00003598621,0.000171119,0.000002052695,0.0002902518,0.00006242849,0.974471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5068727,"threshold_uncertainty_score":0.99582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048429520","doi":"10.1061/(asce)0887-3801(2000)14:1(23)","title":"Comparison of Neural and Conventional Approaches to Mode Choice Analysis","year":2000,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial neural network; Mode choice; Mode (computer interface); Modal; Fuzzy logic; Computer science; Logit; Artificial intelligence; Process (computing); Machine learning; Engineering; Transport engineering; Public transport","retraction":null,"screen_n_in":null,"score":{"opus":0.04924516894762774,"gpt":0.2671124010813972,"spread":0.2178672321337694,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002276009,0.0001041927,0.0003939185,0.0003357246,0.00001283899,0.00002031408,0.00009791469,0.00003985406,0.00005394976],"category_scores_gemma":[0.00003370704,0.0001069769,0.00008460987,0.0003551988,0.00001105152,0.00005534191,0.00001657513,0.0002145985,3.165093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002758701,"about_ca_system_score_gemma":0.000006246039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000143158,"about_ca_topic_score_gemma":0.00003000603,"domain_scores_codex":[0.9990535,0.000009909325,0.000557119,0.00006939658,0.0001599647,0.0001500479],"domain_scores_gemma":[0.9996275,0.0001299151,0.0000697217,0.00006923298,0.00002549622,0.00007810705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003460057,0.00002247387,0.04418543,0.00007160829,0.0001095142,0.000004119486,0.0002361933,0.9517123,0.00007089871,0.00009115262,0.00003540504,0.003457441],"study_design_scores_gemma":[0.0001578721,0.00002574638,0.1140826,0.0000591229,0.00006162885,0.0000118734,0.0000165008,0.8851003,0.00007521897,0.00000824959,0.0003134663,0.00008737953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887671,0.0003920429,0.1110191,0.00002176162,0.00009865712,0.00003488805,0.000002165763,0.00002140436,0.0007389142],"genre_scores_gemma":[0.9934913,0.000009270922,0.006385707,0.000004679864,0.00008668602,2.986368e-7,0.000001421315,0.00001208347,0.000008586984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1058202,"threshold_uncertainty_score":0.4362393,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2917022701","doi":"10.3390/su11041083","title":"Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada","funders":"","keywords":"Synchro; Supply chain; Engineering; Cloud computing; Vulnerability (computing); Business; Computer science; Environmental economics; Computer security; Economics; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.004638057984471704,"gpt":0.2127354734335095,"spread":0.2080974154490378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042252,0.0001497228,0.0001508901,0.0000292808,0.00009324211,0.0001019133,0.0002248582,0.00008831442,0.0002646987],"category_scores_gemma":[0.0002859668,0.0001148753,0.00004446891,0.0001076472,0.0001506785,0.0001551496,0.0001349401,0.0002255599,0.000002840395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512559,"about_ca_system_score_gemma":0.0001140089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006402413,"about_ca_topic_score_gemma":0.00001107159,"domain_scores_codex":[0.9989656,0.00004324054,0.0001817605,0.0002252861,0.0001519078,0.0004322193],"domain_scores_gemma":[0.9991698,0.0001103404,0.00002485847,0.0003897551,0.0002489089,0.0000563869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000796098,0.0002963184,0.3062784,0.003885279,0.0002025384,0.0001031079,0.008865193,0.08325755,0.00002695646,0.5710822,0.01821232,0.007710507],"study_design_scores_gemma":[0.001265691,0.0001130266,0.1153553,0.00002015741,0.00006614431,0.00006138424,0.03605788,0.3646135,0.0001718613,0.1318748,0.3495551,0.000845145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7574096,0.001109311,0.04876625,0.004401816,0.0005976154,0.002447698,0.0000710198,0.0006128977,0.1845838],"genre_scores_gemma":[0.9910814,0.00003712042,0.0005297307,0.00007746562,0.00008528378,0.00004650276,0.00002872899,0.00002026738,0.008093496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4392074,"threshold_uncertainty_score":0.4684477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2154528547","doi":"10.1177/0309132513516178","title":"The changing tides of port geography (1950–2012)","year":2014,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Human geography; Port (circuit theory); Mainstream; Historical geography; Critical geography; Economic geography; Development geography; Time geography; Geography; Regional science; Strategic geography; Sociology; Social science; Political science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008191265055143344,"gpt":0.2286895018854862,"spread":0.2204982368303428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006442537,0.0001926033,0.000236065,0.0005440477,0.000186766,0.00006799421,0.000320067,0.00008067286,0.00005601594],"category_scores_gemma":[0.00001291401,0.0001528941,0.0001574747,0.0005150203,0.0003812031,0.00008637276,0.00007145011,0.0002056156,0.000002052167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005825886,"about_ca_system_score_gemma":0.000003313922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002486992,"about_ca_topic_score_gemma":0.00004714539,"domain_scores_codex":[0.9986438,0.00003155891,0.0004035762,0.0001826606,0.0002318942,0.0005064884],"domain_scores_gemma":[0.9993189,0.00007867743,0.0000850787,0.000398883,0.00005491592,0.00006357265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003849117,0.00004741877,0.9247153,0.0001595515,0.00006231243,0.000005254319,0.0001722302,0.0002569463,0.000008848626,0.007526004,0.0003136363,0.06672861],"study_design_scores_gemma":[0.0006985447,0.0001846373,0.895731,0.0002668901,0.00007891664,0.000008249352,0.0001719982,0.007768012,0.0008478184,0.01615615,0.07727361,0.0008142011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191203,0.02696489,0.002507389,0.0001280348,0.001268564,0.0008766897,0.00002636186,0.0008052446,0.04830252],"genre_scores_gemma":[0.9989925,0.0001945608,0.0005258388,0.00001564511,0.0001209792,0.0000786806,0.00001570044,0.00003402112,0.00002206533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07987221,"threshold_uncertainty_score":0.623484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998274659","doi":"10.1016/j.eswa.2012.02.086","title":"An integrated multiple criteria preference ranking approach to the Canadian west coast port congestion conflict","year":2012,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Windsor; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Port (circuit theory); West coast; Ranking (information retrieval); Gateway (web page); Operations research; Geography; East coast; Preference; Regional science; Computer science; Business; Transport engineering; Economics; Engineering; Oceanography","retraction":null,"screen_n_in":null,"score":{"opus":0.04536198209173588,"gpt":0.2547715520432101,"spread":0.2094095699514742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368886,0.000168559,0.0001570048,0.00007369602,0.0003005797,0.0001501805,0.0002274364,0.00008611589,0.00003212558],"category_scores_gemma":[0.00001338782,0.0001175694,0.00001449984,0.0002124763,0.00004211013,0.0001222549,0.000009847077,0.0001400498,0.00004315249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312825,"about_ca_system_score_gemma":0.0000671982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1132054,"about_ca_topic_score_gemma":0.07246278,"domain_scores_codex":[0.9990802,0.00003511996,0.000223426,0.0001782949,0.0001392845,0.0003436095],"domain_scores_gemma":[0.9989361,0.00003189847,0.00003665739,0.0004958576,0.0001226409,0.0003768103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001217131,0.001481722,0.1483355,0.001014905,0.0007743837,0.00001242946,0.08455919,0.3546545,0.007959017,0.1416592,0.2073695,0.05205789],"study_design_scores_gemma":[0.0001653664,0.00002100097,0.01293776,0.0000420434,0.00001701324,0.00005634684,0.001639597,0.08099177,0.0000654761,0.000001384727,0.9037438,0.0003184325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004697964,0.001117608,0.9545981,0.0001733634,0.0005278333,0.003452262,0.0002840632,0.0006020407,0.03454671],"genre_scores_gemma":[0.9930586,0.000008902627,0.002987808,0.00009611829,0.0003717847,0.002890621,0.0004004755,0.00003776729,0.0001479861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883606,"threshold_uncertainty_score":0.9444624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950544301","doi":"10.3390/ijerph16122226","title":"Evaluating the Environmental Performance and Operational Efficiency of Container Ports: An Application to the Maritime Silk Road","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; National Social Science Fund of China; Major Research Plan; National Natural Science Foundation of China","keywords":"Container (type theory); Data envelopment analysis; Port (circuit theory); Operational efficiency; Throughput; Operational effectiveness; Environmental pollution; Sustainable development; Transport engineering; Operations research; Business; Environmental economics; Computer science; Environmental science; Engineering; Environmental protection; Telecommunications; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04230184231132789,"gpt":0.351627264766144,"spread":0.3093254224548161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451422,0.00007004729,0.0001005656,0.0000944857,0.0001204939,0.00007567702,0.000260528,0.00002502613,0.0002948454],"category_scores_gemma":[0.00004502528,0.00004439821,0.00001791158,0.00004329159,0.0001412171,0.0002135342,0.00009656696,0.000252633,0.000007349943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488571,"about_ca_system_score_gemma":0.00007115731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005250855,"about_ca_topic_score_gemma":0.00000825984,"domain_scores_codex":[0.9984076,0.00009444918,0.0003486834,0.0001037257,0.0008479076,0.0001976417],"domain_scores_gemma":[0.9994791,0.0001185824,0.00008334998,0.000114882,0.00003578304,0.0001682902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001293254,0.0005367554,0.1520108,0.00004986528,0.0001131085,0.0000047842,0.001822216,0.00794021,0.008078468,0.001799191,0.0005687268,0.8269465],"study_design_scores_gemma":[0.0007372333,0.002114617,0.8019128,0.00003856563,0.000004162917,0.0002218316,0.001511047,0.1707027,0.0001318291,0.0001719118,0.02232004,0.0001332151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946216,0.0005053714,0.001030602,0.003117642,0.00009584877,0.00027459,0.00005093015,0.00000261414,0.000300791],"genre_scores_gemma":[0.9983831,0.000855624,0.0002121022,0.0002708203,0.0001331465,0.000008642337,0.00002628479,0.00000830813,0.0001019938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8268133,"threshold_uncertainty_score":0.3228351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2067054410","doi":"10.1016/j.jtrangeo.2008.04.006","title":"Emerging inter-industry partnerships between shipping lines and stevedores: from rivalry to cooperation?","year":2008,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Concordia University","keywords":"Rivalry; General partnership; Port (circuit theory); Business; Equity (law); Industrial organization; International trade; Finance; Economics; Engineering; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.03601977122137191,"gpt":0.2403633249776479,"spread":0.204343553756276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015049,0.0001667771,0.0003305139,0.0002807895,0.0000913449,0.00002384643,0.0001368526,0.0001473036,0.0001242105],"category_scores_gemma":[0.00001492445,0.0001507463,0.0001328722,0.0002207249,0.00005464758,0.0001719635,0.000007633796,0.0005269524,0.000001266971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009313854,"about_ca_system_score_gemma":0.00001998982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003843181,"about_ca_topic_score_gemma":0.00003318046,"domain_scores_codex":[0.9988829,0.00001547124,0.0005859904,0.0001154782,0.0001956609,0.0002044218],"domain_scores_gemma":[0.999397,0.00005810074,0.00008280831,0.0001163741,0.0001040417,0.0002416978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001502929,0.00001769456,0.9905853,0.00003434296,0.0001905581,0.0001686186,0.0006548777,0.003806364,0.0001087627,0.00001336141,0.0007912916,0.003613747],"study_design_scores_gemma":[0.0005266891,0.0001204537,0.9598947,0.0002794217,0.0001911916,0.00006250488,0.0002440557,0.0003893813,0.0004929786,0.000111927,0.03732938,0.0003573233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799715,0.0006857819,0.01823441,0.0002980263,0.0002926779,0.00006846948,0.00004155433,0.00004825393,0.0003593013],"genre_scores_gemma":[0.9958382,0.0003293098,0.003039985,0.0000814874,0.0006434577,0.000001633801,0.00001750416,0.00002391298,0.00002451573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03653809,"threshold_uncertainty_score":0.6147256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791239441","doi":"10.1016/j.ins.2018.03.013","title":"Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization","year":2018,"lang":"en","type":"article","venue":"Information Sciences","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Larus Technologies (Canada); Wilfrid Laurier University; University of Ottawa","funders":"Ministry of Economic Affairs; Ontario Centres of Excellence","keywords":"Schedule; Computer science; Multi-objective optimization; Mathematical optimization; Scalability; Evolutionary algorithm; Pareto optimal; Pareto principle; Port (circuit theory); Benchmark (surveying); Set (abstract data type); Optimization problem; Operations research; Artificial intelligence; Mathematics; Engineering; Algorithm; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.03167885742021213,"gpt":0.253580476244172,"spread":0.2219016188239599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003676383,0.00007044806,0.00005318485,0.0001124832,0.0004092774,0.0001657626,0.0001318637,0.00003735062,0.00007802992],"category_scores_gemma":[0.000066295,0.00005165797,0.0000200879,0.0003401898,0.0001730346,0.001463991,0.00001811881,0.00005912334,0.00002494796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005941671,"about_ca_system_score_gemma":0.00009090183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008552348,"about_ca_topic_score_gemma":0.000004781557,"domain_scores_codex":[0.9993339,0.00001167127,0.0002268073,0.00006121641,0.0002240115,0.0001424024],"domain_scores_gemma":[0.9996274,0.00002977054,0.00004696863,0.00008443485,0.0001874539,0.00002395738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001949235,0.000002655424,0.00004822563,0.000009411642,0.000002419435,3.6406e-8,0.0002216958,0.9979299,0.00001473062,0.0002874954,0.0001310534,0.001350425],"study_design_scores_gemma":[0.00006895718,0.00002141819,0.00004966081,0.00001855902,0.000004312878,0.000002406345,0.0002871671,0.9985862,0.0001627131,0.0002894092,0.0004282659,0.00008097479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0168029,0.00002611551,0.9656778,0.00006363587,0.000306944,0.0001494284,0.000008482591,0.0001124422,0.01685228],"genre_scores_gemma":[0.9155899,0.000005787407,0.08416669,0.0001253417,0.00008641591,0.000003925893,0.00001178822,0.000003428291,0.000006748051],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.898787,"threshold_uncertainty_score":0.3147872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3032388813","doi":"10.3390/su12114397","title":"The Role of Port Development Companies in Transitioning the Port Business Ecosystem; The Case of Port of Amsterdam’s Circular Activities","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Port (circuit theory); Business; Engineering; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007941067600099203,"gpt":0.2056000512814951,"spread":0.1976589836813959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009414073,0.0001398142,0.0003187937,0.00002907197,0.000122313,0.0000164212,0.0002002234,0.00004943335,0.00001972171],"category_scores_gemma":[0.0001998204,0.00008307208,0.00007115837,0.0002649284,0.0002269928,0.00006458854,0.0000586005,0.0001566672,9.422197e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282416,"about_ca_system_score_gemma":0.0003222054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281315,"about_ca_topic_score_gemma":0.0006611243,"domain_scores_codex":[0.9987379,0.00008440743,0.0006485459,0.0001355564,0.0001805769,0.0002129622],"domain_scores_gemma":[0.9989135,0.0001947032,0.0001402314,0.0003470048,0.0003722351,0.00003234521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003727313,0.0006426364,0.4164253,0.02209972,0.0008453261,0.001323608,0.1151749,0.3568635,0.000961935,0.0261764,0.0002668746,0.05884711],"study_design_scores_gemma":[0.0009450525,0.0001289297,0.6314557,0.0002257808,0.0002265538,0.0003962389,0.273642,0.05242078,0.01349917,0.007405445,0.01887801,0.0007763883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961444,0.0004318766,0.001441717,0.0004997251,0.00005499387,0.0005137208,0.00002654935,0.0000272833,0.0008597127],"genre_scores_gemma":[0.999849,0.00001186637,0.000045129,0.00001094932,0.0000203832,0.00003144357,0.000007463605,0.00001360429,0.00001014618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3044427,"threshold_uncertainty_score":0.3387581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2797374624","doi":"10.1080/08920753.2018.1451731","title":"Port Decision Maker Perceptions on the Effectiveness of Climate Adaptation Actions","year":2018,"lang":"en","type":"article","venue":"Coastal Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Adaptation (eye); Perception; Climate change; Port (circuit theory); Skepticism; Environmental resource management; Process (computing); Climate change adaptation; Decision maker; Environmental planning; Business; Computer science; Management science; Geography; Psychology; Environmental science; Economics; Engineering; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.02098857007639985,"gpt":0.2503018586401641,"spread":0.2293132885637642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572289,0.00007029392,0.00006506448,0.0000523907,0.00008589591,0.00001597239,0.00006108164,0.00001968598,0.000377053],"category_scores_gemma":[0.00001273225,0.00005240724,0.00003297509,0.00009353083,0.00004807036,0.00003155158,0.00005349696,0.00004667043,0.0000879381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002019781,"about_ca_system_score_gemma":0.000001826338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001284439,"about_ca_topic_score_gemma":0.00005226019,"domain_scores_codex":[0.9995498,0.00002310488,0.0001160493,0.00008542254,0.0001189457,0.000106693],"domain_scores_gemma":[0.9996381,0.00009817636,0.00001753755,0.0001917449,0.00003522663,0.0000192205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003466262,0.0003730305,0.002443694,0.0008644513,0.00031734,0.0000325852,0.0005903378,0.1115416,0.001333201,0.4104656,0.009803499,0.4618881],"study_design_scores_gemma":[0.0005997809,0.0003284187,0.8669623,0.0004133513,0.0001543968,0.000005441223,0.001177325,0.07946727,0.0008332892,0.005924525,0.04378412,0.0003498562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1756314,0.000008322738,0.4193938,0.00003606313,0.0007563687,0.0005497931,0.00004646728,0.0001490628,0.4034287],"genre_scores_gemma":[0.9988009,0.00007979749,0.0008422347,0.00001796161,0.00004212291,0.00003151894,0.00001577535,0.00001180101,0.0001578772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8645185,"threshold_uncertainty_score":0.4128466,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890305232","doi":"10.3390/su10093318","title":"The Greening of Terminal Concessions in Seaports","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Port (circuit theory); Context (archaeology); Business; Enforcement; License; Variety (cybernetics); Jurisdiction; Industrial organization; Environmental economics; Economics; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.006204998188165253,"gpt":0.2524952093388549,"spread":0.2462902111506897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694605,0.00005596983,0.00008641258,0.00002045601,0.00006772844,0.000008975516,0.00008920512,0.00003453979,0.00006253472],"category_scores_gemma":[0.0003766502,0.00003942493,0.00002178069,0.000109689,0.0003027206,0.00003304655,0.00003582059,0.00009145744,6.696447e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009077796,"about_ca_system_score_gemma":0.0000748968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863425,"about_ca_topic_score_gemma":0.0002820157,"domain_scores_codex":[0.9994479,0.00002194729,0.0001959573,0.00007733606,0.00007359944,0.0001832738],"domain_scores_gemma":[0.9994549,0.00009734475,0.00002148434,0.0002167028,0.0001793786,0.00003025666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004285191,0.00007116057,0.7968758,0.0005402152,0.0000166098,0.00009929149,0.002089073,0.001797828,0.00004296576,0.01430946,0.00295427,0.1811605],"study_design_scores_gemma":[0.0003098947,0.0001155226,0.8564514,0.00004350644,0.00001384668,0.0000119863,0.002230367,0.02959708,0.0008019363,0.05021234,0.05994523,0.0002669012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982895,0.0001498127,0.001858165,0.0002615134,0.0002456862,0.0002281579,0.000004842129,0.00006884045,0.01428795],"genre_scores_gemma":[0.9995381,0.00000453053,0.0001013687,0.000005141684,0.00004880266,0.000007920543,0.000001014289,0.000005182954,0.0002879939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808936,"threshold_uncertainty_score":0.1607702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W80157462","doi":"10.3828/jtep.2013.47.1.55","title":"Urban Road Congestion and Seaport Competition","year":2013,"lang":"en","type":"article","venue":"Journal of transport economics and policy","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Port (circuit theory); Competition (biology); Transport engineering; Business; Traffic congestion; Industrial organization; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006754770398755069,"gpt":0.1873166129251879,"spread":0.1805618425264328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008193754,0.00007343894,0.0001578199,0.00008508832,0.00002286369,0.00002853418,0.0000295706,0.00004768687,0.00007192178],"category_scores_gemma":[0.00000236607,0.00006948716,0.00003049981,0.00001716734,0.00003341353,0.000151564,0.000002231004,0.00008940816,0.000001929391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867514,"about_ca_system_score_gemma":0.00002334496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001955108,"about_ca_topic_score_gemma":0.00002847034,"domain_scores_codex":[0.9995638,0.000002644137,0.0002766741,0.00004376647,0.00002169078,0.00009141007],"domain_scores_gemma":[0.9997402,0.000008442528,0.00006726127,0.00004210726,0.0000295963,0.0001123961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008528368,0.0001916982,0.3319508,0.0008251879,0.0007276807,0.0001113464,0.003052008,0.03358388,0.0008803156,0.2864701,0.01543163,0.32669],"study_design_scores_gemma":[0.0006783213,0.0001169161,0.8740226,0.00004069347,0.00005923124,0.0003178767,0.00005350278,0.01054007,0.00006793959,0.003278222,0.110587,0.000237623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934088,0.0003831156,0.0003044922,0.0005739859,0.0001354293,0.00005129411,0.0000166665,0.00001009193,0.005116154],"genre_scores_gemma":[0.9944786,0.004748767,0.0002606627,0.00008968887,0.000314148,8.86527e-7,0.00000663358,0.00001013157,0.00009048375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5420718,"threshold_uncertainty_score":0.2833604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}