{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":17,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":17,"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","author_layer_release":"2026-06-26"},"query_hash":"38a9c0ecc5af","filters":{"venue":"Maritime Economics & Logistics"}},"results":[{"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","authors":[{"name":"Emmanuel Guy","is_ca":true},{"name":"Bruno Urli","is_ca":true}],"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005692815,0.001295371,0.001550113,0.003023741,0.001801787,0.002461853,0.002361987,0.0009628925,0.01559658],"category_scores_gemma":[0.01654688,0.0004674201,0.001644515,0.006595384,0.001072986,0.00141316,0.001244908,0.001658805,0.0003702722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00450938,"about_ca_system_score_gemma":0.005656692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3166562,"about_ca_topic_score_gemma":0.5066895,"domain_scores_codex":[0.9971282,0.002080618,0.00004900882,0.000246006,0.0003101937,0.0001859676],"domain_scores_gemma":[0.9935415,0.005218581,0.0003005917,0.0002962494,0.0004979118,0.0001450972],"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":[0.0005469941,0.0002732001,0.02230493,0.000244995,0.001167765,0.0007728735,0.0004943791,0.2999587,0.0003409335,0.4847401,0.02368896,0.1654662],"study_design_scores_gemma":[0.0002481828,0.0001137608,0.009315022,0.00004882347,0.0003685661,0.0001221195,0.0004194799,0.859624,0.0002411412,0.1187046,0.01069759,0.00009671962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2058894,0.004134442,0.7310416,0.004223031,0.0003590698,0.0005921467,0.001859122,0.0005143742,0.05138679],"genre_scores_gemma":[0.7893395,0.002197683,0.1674404,0.0003022611,0.0002972102,0.0002972036,0.0007836274,0.0001695851,0.03917255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6833438,"threshold_uncertainty_score":0.629626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012127000","doi":"10.1057/mel.2012.8","title":"Understanding mode choice decisions: A study of Australian freight shippers","year":2012,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Mode choice; Reliability (semiconductor); Mode (computer interface); Business; Choice modelling; Mode of transport; Process (computing); Modal; Transport engineering; Operations research; Environmental economics; Economics; Computer science; Marketing; Public transport; Engineering","authors":[{"name":"Mary R. Brooks","is_ca":true},{"name":"Sean Puckett","is_ca":false},{"name":"David A. Hensher","is_ca":false},{"name":"Adrian Sammons","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1838234901773936,"gpt":0.2601964386203025,"spread":0.07637294844290884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729402,0.0003128532,0.0003218732,0.0005902543,0.003155792,0.002745544,0.001027392,0.001324908,0.004182028],"category_scores_gemma":[0.007977837,0.0005582644,0.0002481669,0.001221155,0.00130628,0.002431211,0.001144949,0.001840994,0.0006142377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236033,"about_ca_system_score_gemma":0.002153871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1715246,"about_ca_topic_score_gemma":0.2663553,"domain_scores_codex":[0.9993856,0.0002619243,0.00001554481,0.00008186555,0.0001055097,0.0001496006],"domain_scores_gemma":[0.9963841,0.001866514,0.0006821033,0.0002134276,0.0004213268,0.0004325021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002359499,0.002148253,0.3609042,0.00005837542,0.00004704224,0.0007832538,0.6050099,0.001126477,0.002294103,0.003164574,0.001266754,0.0229611],"study_design_scores_gemma":[0.00001611223,0.0003898789,0.6863912,0.00004369937,0.00002507887,0.0002199975,0.2989733,0.004455154,0.000303903,0.00216864,0.006956745,0.000056259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989911,0.00001312225,0.00008258154,0.00007496716,6.055344e-7,0.000005058756,0.000009817256,6.765527e-7,0.000822061],"genre_scores_gemma":[0.9970196,0.00006664587,0.0002536275,0.00009189064,0.00000149564,0.00001595433,0.00003778532,0.000003923096,0.002509018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1715246,"threshold_uncertainty_score":0.3410525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110414027","doi":"10.1057/palgrave.mel.9100169","title":"The Time Scale of Internationalisation: The Case of the Container Port Industry","year":2007,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Transport Canada","funders":"","keywords":"Internationalization; Foreign direct investment; Openness to experience; Context (archaeology); Business; Industrial organization; Mainstream; Port (circuit theory); Emerging markets; Container (type theory); Investment (military); International economics; Economic system; Market economy; International trade; Economics; Macroeconomics; Finance","authors":[{"name":"Daniel Olivier","is_ca":true},{"name":"Francesco Parola","is_ca":false},{"name":"Brian Slack","is_ca":true},{"name":"James J. Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01492988723154507,"gpt":0.2224411019176764,"spread":0.2075112146861314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046527,0.0001593294,0.0002628456,0.001584627,0.001155087,0.004963745,0.0006692599,0.001567994,0.01849053],"category_scores_gemma":[0.004859315,0.0001808254,0.0004306414,0.002342856,0.002239301,0.006607457,0.001943038,0.002179331,0.0006262094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207741,"about_ca_system_score_gemma":0.001001917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163979,"about_ca_topic_score_gemma":0.0203101,"domain_scores_codex":[0.9996417,0.00009765277,0.00001233568,0.00004341418,0.00005584884,0.0001490159],"domain_scores_gemma":[0.9974378,0.001421862,0.0004313007,0.0001017185,0.000244735,0.0003625662],"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":[0.001143879,0.0003723826,0.06554128,0.0002766846,0.0001210175,0.004249228,0.01255995,0.0343492,0.003920368,0.8172122,0.01108491,0.04916888],"study_design_scores_gemma":[0.000254156,0.0004346042,0.4001985,0.0004034802,0.0001949455,0.001332411,0.1106322,0.05139935,0.001973825,0.3672588,0.06565842,0.0002593483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.772079,0.002237896,0.002969173,0.006449056,0.00008184931,0.00003566624,0.0002774501,0.00004281264,0.2158272],"genre_scores_gemma":[0.9955738,0.0004105424,0.0001667681,0.00005779119,0.00002250566,0.000007339852,0.00003351799,0.00001004028,0.003717534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163979,"threshold_uncertainty_score":0.06185699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000322714","doi":"10.1057/mel.2015.2","title":"A new approach for Baltic Dry Index forecasting based on empirical mode decomposition and neural networks","year":2015,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":53,"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":"Hilbert–Huang transform; Artificial neural network; Mode (computer interface); Decomposition; Index (typography); Term (time); Computer science; Artificial intelligence; Pattern recognition (psychology); Mathematics; Statistics; Energy (signal processing)","authors":[{"name":"Qingcheng Zeng","is_ca":false},{"name":"Chenrui Qu","is_ca":false},{"name":"Adolf K.Y. Ng","is_ca":true},{"name":"Xiaofeng Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0518796242422211,"gpt":0.280765309876521,"spread":0.2288856856342999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430926,0.0007710158,0.0006671409,0.0009478439,0.0003292202,0.0007794243,0.0006632668,0.0006003298,0.0013903],"category_scores_gemma":[0.0009342351,0.0003535913,0.000648601,0.0007202547,0.0001800999,0.001023539,0.0005920071,0.001016951,0.0004540971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301379,"about_ca_system_score_gemma":0.0004699131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00661985,"about_ca_topic_score_gemma":0.007618873,"domain_scores_codex":[0.9998258,0.00004469211,0.00001329766,0.00005276182,0.00004579404,0.00001772935],"domain_scores_gemma":[0.9997899,0.00008210724,0.00002206037,0.00001735543,0.00007609699,0.00001258531],"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":[0.0001556484,0.0001565422,0.003497831,0.0001165312,0.0002045572,0.0001384287,0.0000847644,0.5793898,0.01217267,0.009301372,0.002502555,0.3922793],"study_design_scores_gemma":[0.00000234983,0.000004852041,0.0003859164,0.000002646637,0.000005782783,0.000006032742,0.00000375274,0.9981723,0.0002528748,0.0009404274,0.000218851,0.00000423343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03008218,0.0005819171,0.9660901,0.0001363534,0.0001341763,0.00003474764,0.0001094173,0.0003005837,0.002530598],"genre_scores_gemma":[0.5761999,0.0009126992,0.4139445,0.0001138881,0.0002944949,0.0001523269,0.0005437653,0.0001390531,0.00769942],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00661985,"threshold_uncertainty_score":0.01316261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991598465","doi":"10.1057/palgrave.mel.9100185","title":"Feasibility of a Sea Route through the Canadian Arctic","year":2007,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"Port (circuit theory); Arctic; Environmental science; Investment (military); Transit (satellite); Capital cost; Variable cost; Computer science; Operations research; Panama canal; Transport engineering; Marine engineering; Meteorology; Oceanography; Business; Economics; Geography; Geology; Engineering; Water resource management","authors":[{"name":"Saran Somanathan","is_ca":true},{"name":"Peter C. Flynn","is_ca":true},{"name":"Jozef Szymanski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07053434651054588,"gpt":0.3292598769331366,"spread":0.2587255304225907,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666915,0.0002669246,0.0003303911,0.001277577,0.007745199,0.004659073,0.0008453755,0.001866145,0.007785751],"category_scores_gemma":[0.008065615,0.0002553074,0.0006750234,0.001621854,0.001401488,0.001254885,0.001502742,0.001268407,0.0004422737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02401573,"about_ca_system_score_gemma":0.07303533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748284,"about_ca_topic_score_gemma":0.9888132,"domain_scores_codex":[0.9981114,0.000378557,0.00005456242,0.0001873575,0.0004497143,0.0008182907],"domain_scores_gemma":[0.9965813,0.0006608792,0.0002149774,0.00008984626,0.001672323,0.0007806444],"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":[0.003840576,0.0004227981,0.4373571,0.000575337,0.0004599484,0.003526039,0.01170675,0.1220562,0.004303047,0.2955537,0.03296066,0.087238],"study_design_scores_gemma":[0.0003994617,0.0009334275,0.5791399,0.0009289703,0.0007633562,0.0007097888,0.1396021,0.0626177,0.003932112,0.02934543,0.181213,0.0004147409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729472,0.0003588705,0.0005090396,0.003102765,0.00009124671,0.00007514474,0.00109494,0.00001492219,0.121806],"genre_scores_gemma":[0.9906079,0.0002973511,0.0006470921,0.0001529315,0.000008373687,0.00001927636,0.0002639784,0.000006594035,0.007996582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02517158,"threshold_uncertainty_score":0.1742471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982138421","doi":"10.1057/mel.2009.15","title":"Logistical rivalries and port competition for container flows to US markets: Impacts of changes in Canada's logistics system and expansion of the Panama Canal","year":2009,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Panama canal; Port (circuit theory); Competition (biology); Container (type theory); Panama; Business; Industrial organization; Operations research; International trade; Computer science; Engineering; Ecology","authors":[{"name":"Lei Fan","is_ca":false},{"name":"William W. Wilson","is_ca":false},{"name":"Denver Tolliver","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008327773153717657,"gpt":0.1851686607672943,"spread":0.1768408876135767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152563,0.0002780177,0.0003958328,0.0009740712,0.002387834,0.006346904,0.001339023,0.001622808,0.014483],"category_scores_gemma":[0.009394884,0.0004640131,0.0009339942,0.001694719,0.002150773,0.002203741,0.001949572,0.001809168,0.0005276368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02452913,"about_ca_system_score_gemma":0.02099738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9132131,"about_ca_topic_score_gemma":0.9647238,"domain_scores_codex":[0.9990579,0.00015728,0.00003726604,0.00008231806,0.0002170576,0.0004481071],"domain_scores_gemma":[0.9926144,0.002483618,0.001144599,0.0001675548,0.00180682,0.001783076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002020892,0.0008226277,0.9402189,0.000069955,0.0002978424,0.001269978,0.002487163,0.0134222,0.001610386,0.01932692,0.006346398,0.01210671],"study_design_scores_gemma":[0.0001314272,0.0001769535,0.9573321,0.00004664782,0.0002199736,0.0001087584,0.01861197,0.01529709,0.0006346306,0.002614551,0.00476538,0.00006046581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901329,0.0001175514,0.00003967262,0.0007899223,0.000005687868,0.00001015276,0.0001751016,0.000004350024,0.008724705],"genre_scores_gemma":[0.9972969,0.00009528622,0.00002809182,0.0000635176,0.000003986619,0.000003121137,0.00009410086,0.000004911202,0.002410061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08678687,"threshold_uncertainty_score":0.1779721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312222976","doi":"10.1057/s41278-022-00252-8","title":"Seaport efficiency, port throughput, and economic growth in Africa","year":2022,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Port (circuit theory); Throughput; Economic efficiency; Panel data; Economics; Inflation (cosmology); Investment (military); Government (linguistics); Business; Engineering; Telecommunications; Market economy; Econometrics","authors":[{"name":"Enock Kojo Ayesu","is_ca":false},{"name":"Daniel Sakyi","is_ca":false},{"name":"Alexander Bilson Darku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03489046303664779,"gpt":0.2094185721989306,"spread":0.1745281091622829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006520321,0.0002951839,0.0001891721,0.001346487,0.0004675816,0.001578653,0.0002324487,0.0003365743,0.003226411],"category_scores_gemma":[0.003660311,0.0001901497,0.0002335171,0.003399438,0.0007924432,0.001684412,0.0007430884,0.0007697924,0.0002095759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949889,"about_ca_system_score_gemma":0.001034828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05459362,"about_ca_topic_score_gemma":0.06906988,"domain_scores_codex":[0.9996858,0.0001036165,0.00001568696,0.00002623924,0.00002686963,0.0001418737],"domain_scores_gemma":[0.9978934,0.0008389191,0.0008837341,0.0000336748,0.0001508043,0.0001994408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002248516,0.0001330448,0.9518378,0.00008067147,0.0001287633,0.001299082,0.001197512,0.009278887,0.0002606448,0.0178991,0.001874646,0.01578502],"study_design_scores_gemma":[0.00002308824,0.0001011335,0.9660907,0.0001839826,0.000130855,0.0004621427,0.009978285,0.012005,0.0004732205,0.005098227,0.005431974,0.0000213155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934023,0.0007498717,0.0001407011,0.0007215319,0.00000967391,0.000003117125,0.0002166961,0.000003836652,0.004752178],"genre_scores_gemma":[0.9987471,0.0005459154,0.00003043216,0.00001232688,0.000007771705,0.000001843725,0.00004791656,0.00000154389,0.000605179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05459362,"threshold_uncertainty_score":0.1085517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2987910920","doi":"10.1057/s41278-019-00135-5","title":"Assessing the role of port efficiency as a determinant of maritime transport costs: evidence from Canada","year":2019,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Turnaround time; Port (circuit theory); Truck; Container (type theory); Data envelopment analysis; Business; Transport engineering; Operations management; Economics; Engineering; Statistics; Mathematics; Automotive engineering","authors":[{"name":"Qiao Lei","is_ca":true},{"name":"Chris Bachmann","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009955936415704412,"gpt":0.2110878625645655,"spread":0.2011319261488611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003337792,0.0006120268,0.0007306145,0.002692031,0.002835918,0.003038533,0.002151409,0.0008269878,0.003151065],"category_scores_gemma":[0.01478075,0.0005071418,0.001109406,0.008912807,0.002144899,0.0009549327,0.001330941,0.001475616,0.000235385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03789673,"about_ca_system_score_gemma":0.06764824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973391,"about_ca_topic_score_gemma":0.9985476,"domain_scores_codex":[0.997401,0.0004789373,0.0001708264,0.0003039585,0.0009438492,0.0007014362],"domain_scores_gemma":[0.9776444,0.006077983,0.003488146,0.000851612,0.009997419,0.001940502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002790812,0.0001387712,0.9828125,0.0001749471,0.000487278,0.0001874679,0.00104686,0.001069066,0.0001073152,0.00162169,0.002364189,0.009710968],"study_design_scores_gemma":[0.00004326033,0.00004080102,0.991895,0.0001794673,0.0004806172,0.00003254356,0.003038753,0.001049689,0.0001422025,0.0001979925,0.002870104,0.00002958878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867812,0.003059804,0.0002351233,0.001088025,0.00002203919,0.00003681418,0.002740645,0.000006500772,0.006029851],"genre_scores_gemma":[0.9940556,0.002273499,0.0003409197,0.0001671197,0.00000811184,0.00001313442,0.00173194,0.000008343476,0.001401376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03789673,"threshold_uncertainty_score":0.2749612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045442905","doi":"10.1057/palgrave.mel.9100164","title":"Total Factor Productivity Growth: Indian Ports in the Era of Globalisation","year":2006,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Total factor productivity; Globalization; Productivity; Port (circuit theory); Liberalization; Quarter (Canadian coin); Economics; Capital (architecture); Development economics; International trade; Economic growth; Engineering; Geography; Market economy","authors":[{"name":"Prabir De","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02381782213295681,"gpt":0.2020962926657213,"spread":0.1782784705327645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005970675,0.0004360167,0.0003291715,0.002054949,0.001080621,0.006338816,0.0005413549,0.0007201508,0.005615224],"category_scores_gemma":[0.003297973,0.0001802724,0.0006070692,0.01180468,0.001804955,0.005337686,0.00141223,0.001621934,0.0006834627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004698248,"about_ca_system_score_gemma":0.003167612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1244154,"about_ca_topic_score_gemma":0.1427617,"domain_scores_codex":[0.9996345,0.0000449974,0.00002046598,0.00004113013,0.00007733834,0.000181511],"domain_scores_gemma":[0.9985629,0.0002996624,0.0003223483,0.00007710762,0.0004906043,0.0002474462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00134608,0.0001857007,0.5426314,0.0005758874,0.0002306133,0.003908755,0.006349544,0.02931542,0.001514229,0.2563269,0.03716201,0.1204535],"study_design_scores_gemma":[0.0000287102,0.0001177484,0.8237115,0.0002306171,0.0002978861,0.001353548,0.02972445,0.01738445,0.001594638,0.05944085,0.06596822,0.000147346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8693961,0.005595322,0.001031992,0.01853979,0.0003107873,0.00001160205,0.002462006,0.0001048759,0.1025475],"genre_scores_gemma":[0.9926733,0.002546196,0.0001395199,0.000158877,0.0001085681,0.000002915367,0.0003444355,0.00001418308,0.004011957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1244154,"threshold_uncertainty_score":0.2473825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025431035","doi":"10.1057/mel.2014.10","title":"A new governance perspective on port–hinterland relationships: The Port Hinterland Impact (PHI) matrix","year":2014,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Port (circuit theory); Corporate governance; Business; Perspective (graphical); Distribution (mathematics); Investment (military); Regional science; Industrial organization; Finance; Geography; Computer science; Political science; Engineering","authors":[{"name":"Elvira Haezendonck","is_ca":false},{"name":"Michaël Dooms","is_ca":false},{"name":"Alain Verbeke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01468785850221012,"gpt":0.2394916552183907,"spread":0.2248037967161806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402613,0.0004722943,0.000350678,0.003642422,0.001755464,0.006522456,0.0008398063,0.0008053316,0.007255719],"category_scores_gemma":[0.003443118,0.0002608499,0.0004354101,0.00461192,0.007039186,0.007224195,0.004544522,0.001820973,0.0002382419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004636007,"about_ca_system_score_gemma":0.001824102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236738,"about_ca_topic_score_gemma":0.01156602,"domain_scores_codex":[0.9984171,0.0006275804,0.0000919562,0.0001835186,0.0004384868,0.0002412252],"domain_scores_gemma":[0.9976512,0.0008858618,0.0006508126,0.0002411569,0.0002816534,0.0002894857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006370827,0.00001096081,0.006622629,0.00001863913,0.00000762299,0.0001643613,0.001447742,0.003840229,0.0002234311,0.9818225,0.0005711723,0.00526431],"study_design_scores_gemma":[0.00002100612,0.00006879404,0.03887761,0.0002537995,0.00003867448,0.0006249869,0.0140725,0.02046767,0.0008835844,0.8329021,0.09173828,0.00005098365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3128746,0.001476186,0.2606638,0.009791087,0.0001221091,0.000227875,0.0006551172,0.00008898211,0.4141002],"genre_scores_gemma":[0.981625,0.0005287203,0.01318673,0.0001947144,0.00003794602,0.00008430784,0.0001175722,0.00002385505,0.004201117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01236738,"threshold_uncertainty_score":0.03363675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2523843985","doi":"10.1057/s41278-016-0048-2","title":"Assessing risk in the intercontinental transportation of crude oil","year":2016,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Oil spill; Petroleum; Business; Economic cost; Risk assessment; Crude oil; Socioeconomic status; Environmental planning; Environmental resource management; Natural resource economics; Risk analysis (engineering); Environmental science; Transport engineering; Computer science; Engineering; Environmental protection; Economics; Petroleum engineering; Computer security","authors":[{"name":"Atiq W. Siddiqui","is_ca":false},{"name":"Manish Verma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0137625587436389,"gpt":0.2236359960899913,"spread":0.2098734373463524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002193503,0.001114776,0.000357141,0.001601002,0.0005471311,0.001883561,0.0007982145,0.001069058,0.0008150944],"category_scores_gemma":[0.006910832,0.0003500034,0.0008390772,0.0007622307,0.000540584,0.001414274,0.001044121,0.0007455951,0.00008323759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003152804,"about_ca_system_score_gemma":0.002337849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07793009,"about_ca_topic_score_gemma":0.05703219,"domain_scores_codex":[0.9993345,0.0002989348,0.00003011411,0.00007190168,0.0001698675,0.00009460244],"domain_scores_gemma":[0.9975367,0.001554455,0.0003436697,0.00008987358,0.0003212952,0.0001540233],"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":[0.0007705742,0.0002922879,0.07983289,0.00003618619,0.0002792371,0.0005120192,0.0001375303,0.8990624,0.001822655,0.004066078,0.0002046489,0.01298348],"study_design_scores_gemma":[0.00002312684,0.0004457192,0.01953351,0.00001599142,0.0001236557,0.00008520502,0.0004138785,0.9738269,0.00189371,0.003270806,0.0003311034,0.00003649267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934338,0.0001390761,0.004968684,0.0001011111,0.00001024138,0.00002788917,0.00007091623,0.00001566573,0.001232606],"genre_scores_gemma":[0.9973893,0.00009312421,0.001777383,0.000006946975,0.000003731471,0.000004722756,0.0000767747,0.000003688821,0.0006444463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07793009,"threshold_uncertainty_score":0.154953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793502857","doi":"10.1057/s41278-018-0103-2","title":"Geography and institutional change: insights from a container terminal operator","year":2018,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Transport Canada","funders":"Shanghai Maritime University; University of Manitoba","keywords":"Container (type theory); Institutional change; Terminal (telecommunication); Space (punctuation); Business; Industrial organization; Operator (biology); Economic geography; Computer science; Operations research; Economic system; Political science; Engineering; Geography; Telecommunications; Economics; Public administration; Mechanical engineering","authors":[{"name":"Adolf K.Y. Ng","is_ca":true},{"name":"Kenneth H.T. Wong","is_ca":false},{"name":"Eva C. Shou","is_ca":false},{"name":"Changmin Jiang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01631668524740705,"gpt":0.1999002680538927,"spread":0.1835835828064857,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007625722,0.0001175315,0.000160195,0.0007533934,0.002980287,0.003493348,0.0006580192,0.0009229198,0.005115568],"category_scores_gemma":[0.002482118,0.00009984135,0.0001721824,0.001627816,0.003626243,0.002822288,0.002138556,0.0009984809,0.0002895457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894154,"about_ca_system_score_gemma":0.002363714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04826747,"about_ca_topic_score_gemma":0.09304444,"domain_scores_codex":[0.9995949,0.0001919682,0.00001120704,0.00004641145,0.00004066373,0.0001149511],"domain_scores_gemma":[0.998238,0.0007222616,0.0002593596,0.0001268592,0.0001493505,0.000504187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003311629,0.00148757,0.3817263,0.00007656906,0.00006010496,0.008072368,0.3139725,0.009070073,0.002601748,0.2261206,0.00931628,0.0471646],"study_design_scores_gemma":[0.00003626124,0.0001970778,0.1524251,0.00005599704,0.00003102455,0.0005766629,0.7606176,0.006067805,0.0004813071,0.03517041,0.04428717,0.00005359641],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802058,0.00003342266,0.0005135087,0.002174807,0.000006063891,0.000007781121,0.00005797266,0.000005872765,0.01699475],"genre_scores_gemma":[0.9981127,0.00006374677,0.0001770181,0.00007172808,0.000003203437,0.000003884856,0.00002870444,0.000004181187,0.001534934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04826747,"threshold_uncertainty_score":0.09597307,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388225335","doi":"10.1057/s41278-023-00274-w","title":"Navigating the tides of uncertainty: exploring the complex relationship between global economic policy and crude oil transportation","year":2023,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"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":"","keywords":"Geopolitics; Causality (physics); Government (linguistics); Crude oil; Index (typography); Politics; Business; Natural resource economics; Economics; Economic impact analysis; Political science; Engineering; Microeconomics; Petroleum engineering","authors":[{"name":"Xinzhou Qi","is_ca":true},{"name":"Wenjing Zhang","is_ca":false},{"name":"Ling Sun","is_ca":false},{"name":"Zijiang Hu","is_ca":false},{"name":"Ning Zhong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1315464385729798,"gpt":0.300046793682515,"spread":0.1685003551095352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001507131,0.0002679249,0.0004503806,0.0008050588,0.0008090448,0.005830091,0.0005981281,0.001527119,0.002429459],"category_scores_gemma":[0.009081736,0.0003265351,0.0003999828,0.001771192,0.00220701,0.006853196,0.00191007,0.002084665,0.0001239212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713958,"about_ca_system_score_gemma":0.002116576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03825004,"about_ca_topic_score_gemma":0.05160954,"domain_scores_codex":[0.9995872,0.0002414604,0.00001232725,0.00004691202,0.0000342679,0.00007777727],"domain_scores_gemma":[0.9966443,0.002555769,0.0004466295,0.00007504833,0.0001192647,0.0001590125],"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":[0.0003440072,0.0003086989,0.2073585,0.0003426378,0.0006311182,0.0009367446,0.008797535,0.257946,0.001378307,0.458903,0.00569195,0.0573615],"study_design_scores_gemma":[0.00002410225,0.0000919072,0.05575672,0.0001524043,0.0001419249,0.0001120671,0.02977279,0.1969084,0.0003778368,0.7057317,0.01083158,0.00009860026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951234,0.00178462,0.01169494,0.0194235,0.00005537164,0.00001490652,0.000266478,0.00002938257,0.01549681],"genre_scores_gemma":[0.9977145,0.0007637687,0.0009539747,0.0001773621,0.00001776437,0.000004570586,0.000030882,0.00001018366,0.000326977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825004,"threshold_uncertainty_score":0.07605475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409670687","doi":"10.1057/s41278-025-00318-3","title":"Publisher Correction: Optimizing ocean gateways: an empirical study of port privatization and its effects on the performance of the Indian major ports","year":2025,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"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":"","keywords":"Port (circuit theory); Empirical research; Telecommunications; Business; Marine engineering; Operations research; Computer science; Engineering; Electrical engineering; Mathematics; Statistics","authors":[{"name":"Pranjal Sudhir Ghate","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01174835086144905,"gpt":0.213533310426763,"spread":0.2017849595653139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134563,0.0009339013,0.001114834,0.002388836,0.001664041,0.005144123,0.00194961,0.001651907,0.08263312],"category_scores_gemma":[0.04420727,0.0003603914,0.0008157079,0.007427511,0.001344079,0.002333548,0.001205427,0.00378,0.016458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004037211,"about_ca_system_score_gemma":0.0061306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1430025,"about_ca_topic_score_gemma":0.1372667,"domain_scores_codex":[0.9987378,0.0001813362,0.0001468059,0.0002314913,0.0005769634,0.0001257102],"domain_scores_gemma":[0.9634793,0.0102018,0.003654883,0.002693645,0.01903721,0.0009330593],"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":[0.0001125897,0.0000310409,0.007056733,0.0001930067,0.00004030791,0.0004537069,0.0002026321,0.001703777,0.00008609235,0.006450511,0.9712564,0.01241326],"study_design_scores_gemma":[0.0002417448,0.0001362404,0.07015996,0.0006297809,0.0003319344,0.0006591614,0.004286767,0.007692689,0.002206868,0.00833346,0.9051073,0.0002141037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.08749167,0.008153861,0.006773183,0.2444396,0.393883,0.0002690894,0.09618475,0.002936717,0.1598683],"genre_scores_gemma":[0.3571253,0.006430676,0.002933737,0.0115776,0.02172019,0.0001717567,0.01882614,0.001366232,0.5798484],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1430025,"threshold_uncertainty_score":0.2843402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406706997","doi":"10.1057/s41278-025-00311-w","title":"Optimizing ocean gateways: an empirical study of port privatization and its effects on the performance of the Indian major ports","year":2025,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"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":"","keywords":"Port (circuit theory); Indian ocean; Empirical research; Business; Telecommunications; Engineering; Oceanography; Geology; Electrical engineering; Mathematics","authors":[{"name":"Pranjal Sudhir Ghate","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01248726921025846,"gpt":0.2193457844968276,"spread":0.2068585152865691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150669,0.0003732117,0.0005202896,0.0007653273,0.0006843934,0.003269849,0.0009548555,0.001072254,0.005288704],"category_scores_gemma":[0.01426642,0.0003374606,0.0008128304,0.00221507,0.001991784,0.002403804,0.001488488,0.002531103,0.0004776282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002916862,"about_ca_system_score_gemma":0.003143825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05758152,"about_ca_topic_score_gemma":0.04544699,"domain_scores_codex":[0.9986579,0.0005517661,0.0000904659,0.0001422281,0.0001299342,0.0004276342],"domain_scores_gemma":[0.9751569,0.01119254,0.008904363,0.001210209,0.001260439,0.002275478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001558225,0.001606304,0.9225571,0.00009147788,0.0004451612,0.0005590636,0.001213887,0.05220414,0.001364043,0.007716523,0.00162963,0.009054381],"study_design_scores_gemma":[0.0001248791,0.001025609,0.953033,0.00003972086,0.0003559287,0.00009340702,0.00944383,0.02970626,0.001276099,0.002455088,0.00238605,0.00006018412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976957,0.00004044505,0.0001205436,0.0001407704,0.00000292212,0.00001129032,0.0001157352,0.000008763413,0.001863678],"genre_scores_gemma":[0.9991753,0.00004766345,0.0000388849,0.00001792215,0.000004537994,0.00000514251,0.000135659,0.000003467218,0.0005714683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05758152,"threshold_uncertainty_score":0.1144927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409669633","doi":"10.1057/s41278-025-00312-9","title":"Economies of scale vs. service quality and environmental concerns: an application to integrated sea-land shipping systems with carbon tax policy insights","year":2025,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Scale (ratio); Carbon tax; Business; Quality (philosophy); Service (business); Economies of scale; Natural resource economics; Service quality; Environmental resource management; Economy; Economics; Greenhouse gas; Geography; Oceanography; Marketing","authors":[{"name":"Marie-Sabine Saget","is_ca":true},{"name":"Maryam Darvish","is_ca":true},{"name":"Jacques Renaud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01223720326795784,"gpt":0.2373470892257226,"spread":0.2251098859577648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003224985,0.001306359,0.001523754,0.001200049,0.001301511,0.004013957,0.001449677,0.00324386,0.014361],"category_scores_gemma":[0.009979471,0.0006267608,0.00248452,0.002265847,0.004659927,0.006434385,0.003257093,0.004547428,0.0003363063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004474122,"about_ca_system_score_gemma":0.003177622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824962,"about_ca_topic_score_gemma":0.02077843,"domain_scores_codex":[0.9987823,0.0006499426,0.00003917977,0.0001735857,0.0001679275,0.0001870621],"domain_scores_gemma":[0.9877982,0.0104102,0.0007775681,0.0002506862,0.0004154749,0.0003480129],"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":[0.0001289414,0.0002673498,0.004219732,0.0001939797,0.000120555,0.0004569513,0.0003483412,0.1354139,0.0005766782,0.8397788,0.003660948,0.0148337],"study_design_scores_gemma":[0.00008313212,0.0001350204,0.003454924,0.00008666113,0.0001460069,0.0001078948,0.001095995,0.2023063,0.0002842772,0.7876919,0.004550127,0.0000577953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4688077,0.006428792,0.298522,0.03292755,0.0005910707,0.0002964368,0.0008300783,0.0002131549,0.1913833],"genre_scores_gemma":[0.9836557,0.001851458,0.007588582,0.0004326384,0.0002409546,0.00006247839,0.00003781762,0.00003417421,0.006096148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01824962,"threshold_uncertainty_score":0.0480423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412177917","doi":"10.1057/s41278-025-00324-5","title":"Simulation and optimization of river navigation: the case of the St. Lawrence River and the Port of Quebec","year":2025,"lang":"en","type":"article","venue":"Maritime Economics & Logistics","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Port (circuit theory); Hydrology (agriculture); Environmental science; Geology; Engineering; Electrical engineering; Geotechnical engineering","authors":[{"name":"Francisco Alegría","is_ca":true},{"name":"Pierre-Luc Gosselin","is_ca":false},{"name":"Leandro C. Coelho","is_ca":true},{"name":"Jacques Renaud","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009623660560094225,"gpt":0.2130775535251339,"spread":0.2034538929650396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007546987,0.0007818506,0.000845788,0.000691055,0.001250972,0.001691203,0.001540102,0.001848853,0.005402061],"category_scores_gemma":[0.003220965,0.000669384,0.0007887453,0.001295155,0.0009767383,0.0006322628,0.0006854655,0.001158301,0.0002818223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00884565,"about_ca_system_score_gemma":0.008087852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276361,"about_ca_topic_score_gemma":0.9029167,"domain_scores_codex":[0.9996384,0.0001347372,0.0000115086,0.00003898087,0.00004296611,0.0001332357],"domain_scores_gemma":[0.9981456,0.001048318,0.00008889583,0.00005995898,0.0004876721,0.0001696747],"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":[0.00003578762,0.00003097813,0.001592459,0.000009498343,0.00001155405,0.00003890037,0.00001204644,0.9960567,0.00005559842,0.0006616791,0.0005729767,0.0009218371],"study_design_scores_gemma":[0.00001835489,0.00001391614,0.0009042894,0.000003260212,0.0000049098,0.000002873009,0.00004623973,0.9985251,0.00003692264,0.0001728602,0.0002658561,0.000005490954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502257,0.0005116751,0.01118178,0.001614489,0.0000826019,0.0000917942,0.002160608,0.0002012163,0.03393016],"genre_scores_gemma":[0.9894493,0.0001488244,0.003327819,0.00007670526,0.000006258212,0.00003546245,0.0005522094,0.00003163812,0.006371886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07236385,"threshold_uncertainty_score":0.14558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}