{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":19,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":19,"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":"614f3d3444c3","filters":{"venue":"Pipelines 2018"}},"results":[{"id":"W3000031647","doi":"10.1061/9780784481653.064","title":"Automated Sewer Pipeline Inspection Using Computer Vision Techniques","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pipeline (software); Computer science; Pipeline transport; Computer vision; Computer graphics (images); Artificial intelligence; Engineering; Operating system; Mechanical engineering","authors":[{"name":"Saeed Moradi","is_ca":true},{"name":"Tarek Zayed","is_ca":true},{"name":"Farzaneh Golkhoo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009903951678761198,"gpt":0.2678285876777351,"spread":0.2579246359989739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001146739,0.0002016501,0.0001755461,0.00014773,0.0001298588,0.00005279199,0.0001185995,0.0001315233,0.00003626605],"category_scores_gemma":[0.0000123109,0.0001779367,0.00004891624,0.0002274136,0.00008060908,0.0002307004,0.00005116517,0.0001319567,0.0001057214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077008,"about_ca_system_score_gemma":0.00001351234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003556431,"about_ca_topic_score_gemma":0.00001231864,"domain_scores_codex":[0.9990749,0.00001314643,0.0002758665,0.0001976276,0.000138323,0.0003001714],"domain_scores_gemma":[0.9994449,0.00001069732,0.00004181359,0.000238534,0.0002093175,0.00005476274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007313126,0.00005886668,0.0009257244,0.0001396406,0.00006358946,0.00002511002,0.0007015555,0.009597438,0.2960914,0.00009561161,0.5660465,0.1261814],"study_design_scores_gemma":[0.0001551259,0.00009091455,0.0005095427,0.0001104512,0.0000140413,0.00004091811,0.00001874796,0.8805447,0.08639033,0.00009361839,0.03179064,0.0002409962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2601374,0.0001089244,0.7138203,0.00004889927,0.007357968,0.000275799,0.000007073776,0.01379674,0.004446958],"genre_scores_gemma":[0.9095073,0.00002400695,0.08232559,0.000102974,0.007889358,0.000004795314,0.000009962591,0.00006080384,0.00007520826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8709472,"threshold_uncertainty_score":0.7256048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999250775","doi":"10.1061/9780784481653.009","title":"Criticality Model to Prioritize Pipeline Rehabilitation Decisions","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Criticality; Pipeline transport; Pipeline (software); Prioritization; Computer science; Failure mode, effects, and criticality analysis; Civil engineering; Engineering; Risk analysis (engineering); Business; Environmental engineering; Management science","authors":[{"name":"Khalid Kaddoura","is_ca":true},{"name":"Tarek Zayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02013541233634648,"gpt":0.2951419146294458,"spread":0.2750065022930993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262223,0.0001924461,0.0002633895,0.0001604661,0.0001528546,0.00004910368,0.0002404612,0.0001168313,0.0002767472],"category_scores_gemma":[0.001985031,0.0001753596,0.0001197713,0.0005217814,0.0001806968,0.0001970756,0.00005393515,0.0001424336,0.0006041956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008542633,"about_ca_system_score_gemma":0.00004030976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002101213,"about_ca_topic_score_gemma":0.0001435363,"domain_scores_codex":[0.9985013,0.00003860446,0.0004696121,0.000329004,0.000291246,0.0003702127],"domain_scores_gemma":[0.9984469,0.0003081666,0.00001744616,0.0005796965,0.0004352203,0.0002125482],"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":[0.0001305925,0.0001937493,0.001493169,0.0001310785,0.00006032367,0.000003807905,0.002376612,0.6060413,0.01893764,0.004904308,0.2409263,0.1248011],"study_design_scores_gemma":[0.0001865706,0.0001027017,0.001030084,0.00003970354,0.00004147966,0.000003150763,0.000155109,0.9602513,0.002359399,0.02533947,0.01019137,0.0002996307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291601,0.00004687514,0.8643402,0.001285597,0.000375957,0.0002006957,0.0000316952,0.0003106745,0.004248201],"genre_scores_gemma":[0.903088,0.00001432806,0.09537311,0.0004405087,0.0007616243,0.00002254571,0.00001102524,0.00002656826,0.0002622987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7739279,"threshold_uncertainty_score":0.7765914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999613568","doi":"10.1061/9780784481646.009","title":"Riser Pipe and Port Design for the Toronto Ashbridges Bay Treatment Plant Outfall","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Public Health; Hatch (Canada)","funders":"","keywords":"Outfall; Engineering; Port (circuit theory); Marine engineering; Annulus (botany); Civil engineering; Environmental engineering; Mechanical engineering","authors":[{"name":"Kevin Waher","is_ca":true},{"name":"Graeme D Henderson","is_ca":true},{"name":"Colleen Gammie","is_ca":true},{"name":"Justyna Kempa-Teper","is_ca":false},{"name":"Vlad Petran","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02833220102811217,"gpt":0.2356592037955104,"spread":0.2073270027673982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001133718,0.0001904942,0.0001603941,0.00002525255,0.00008457565,0.00003457044,0.00013576,0.00008602969,0.00002266136],"category_scores_gemma":[0.00004225664,0.0001193064,0.00004264059,0.00003438703,0.00007153134,0.00006977706,0.00002349928,0.00003961837,0.0000240446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006236827,"about_ca_system_score_gemma":0.000009983364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007278492,"about_ca_topic_score_gemma":0.0002916057,"domain_scores_codex":[0.9993768,0.000004963811,0.0001447113,0.0001589297,0.00006626518,0.0002483516],"domain_scores_gemma":[0.9994766,0.0001536992,0.00001692968,0.0002795433,0.00003307815,0.00004015017],"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":[0.0002847105,0.0002273009,0.003489292,0.000268674,0.001235237,0.00002234657,0.002973067,0.01699024,0.007483557,0.001706741,0.5363888,0.4289301],"study_design_scores_gemma":[0.0009884726,0.0009392999,0.003304464,0.00005034233,0.0001726709,0.0000366229,0.0004952308,0.2758853,0.03988187,0.0004449993,0.6771891,0.0006116558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09206413,0.02181894,0.8732743,0.001045455,0.00383707,0.001535971,0.0001688795,0.003636464,0.002618754],"genre_scores_gemma":[0.9822958,0.002020444,0.01327819,0.00002818785,0.001000737,0.0001588947,0.0000118931,0.00005728806,0.00114853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902317,"threshold_uncertainty_score":0.4865175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998907889","doi":"10.1061/9780784481653.012","title":"Using Probabilistic and Deterministic Modeling Techniques to Relate Funding to Service Levels to Drive a Water Main Rehabilitation Program in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Aecom (Canada)","funders":"","keywords":"Probabilistic logic; Rehabilitation; Service (business); Computer science; Operations research; Business; Engineering; Artificial intelligence; Psychology; Marketing","authors":[{"name":"Chris Macey","is_ca":true},{"name":"James Davidson","is_ca":true},{"name":"Matthew A. Coleman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02838769763967606,"gpt":0.2739512881211535,"spread":0.2455635904814774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197357,0.0001763847,0.0001647182,0.0001317381,0.00006915565,0.00008388466,0.0001171544,0.00005126789,0.00001774864],"category_scores_gemma":[0.00007693799,0.0001598841,0.00001195202,0.0002182691,0.000009951605,0.0001705922,0.0001153694,0.00004658023,0.0000102247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006320068,"about_ca_system_score_gemma":0.00001924809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05782767,"about_ca_topic_score_gemma":0.5574498,"domain_scores_codex":[0.9988776,0.0000250062,0.0003189279,0.0002818444,0.0001362911,0.0003603599],"domain_scores_gemma":[0.9995423,0.00002210558,0.00001551939,0.0001834947,0.0001049658,0.0001316079],"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":[0.00006172675,0.00002610923,0.0004454372,0.0003544223,0.00001492865,0.000006021103,0.008304025,0.972549,0.004549644,0.00004243347,0.0004436841,0.01320259],"study_design_scores_gemma":[0.0001080786,0.000170977,0.0002213003,0.0002329726,0.00001684329,0.000001537397,0.0003344686,0.9954836,0.000571597,0.0001561844,0.002424788,0.0002776645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8473457,0.00001050234,0.1498696,0.0004317454,0.0001727963,0.00152139,0.000006534931,0.0002210684,0.000420725],"genre_scores_gemma":[0.8541893,9.609961e-7,0.1451591,0.0002535454,0.0001510106,0.0001356426,0.00000663013,0.00004039242,0.0000633403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4996221,"threshold_uncertainty_score":0.9484463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999154415","doi":"10.1061/9780784481653.043","title":"Leakage Rate Uncertainty in Water Distribution Systems with Uncertain Demands: Impacts on Delivery Pressures","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Leakage (economics); Monte Carlo method; Leak; Pipeline transport; Environmental science; Petroleum engineering; Mechanics; Computer science; Engineering; Environmental engineering; Statistics; Mathematics","authors":[{"name":"Vali Ghorbanian","is_ca":true},{"name":"L. Ramezani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01150721540066276,"gpt":0.2088633530623643,"spread":0.1973561376617015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002892065,0.0002205424,0.0002325789,0.00008543472,0.00006834883,0.00009202772,0.000115573,0.000108761,0.00002182154],"category_scores_gemma":[0.0000168865,0.0001371189,0.00002735234,0.0001392554,0.00004701538,0.0002044968,0.00001968438,0.00009409308,0.0001367631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156993,"about_ca_system_score_gemma":0.00001487745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007835382,"about_ca_topic_score_gemma":0.001415981,"domain_scores_codex":[0.9988708,0.00006967265,0.000308461,0.0002235978,0.0001522696,0.0003752295],"domain_scores_gemma":[0.999483,0.00002864134,0.00003816872,0.000250595,0.0001266166,0.00007295208],"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":[0.0001375464,0.00002664759,0.001340491,0.0001620836,0.00002979611,0.0000135856,0.0004968963,0.9760877,0.0007344657,0.00003347425,0.02081,0.0001272863],"study_design_scores_gemma":[0.00152966,0.000450338,0.003044996,0.0006716861,0.00003953066,0.00001757363,0.0002191363,0.9556139,0.01143661,0.00004181115,0.02633515,0.0005996772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712952,0.0003363158,0.02441208,0.0000860563,0.001240145,0.000637785,0.00006420433,0.0003496863,0.001578478],"genre_scores_gemma":[0.9983087,0.0000351846,0.00004363292,0.00002579236,0.0006268605,0.00004062216,0.0002236259,0.00003657434,0.0006590199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02701344,"threshold_uncertainty_score":0.5591547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000116456","doi":"10.1061/9780784481660.022","title":"Analyzing Conflicts over Water Extraction from Great Lakes of North America through Game Theory Approaches","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"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":"Game theory; Computer science; Extraction (chemistry); Mathematical economics; Mathematics; Chemistry","authors":[{"name":"Sevda Payganeh","is_ca":true},{"name":"Mark A. Knight","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03025670118225355,"gpt":0.2246606232669259,"spread":0.1944039220846724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006231384,0.0001578428,0.0001812862,0.00007337191,0.0000396121,0.00003620427,0.0001258534,0.00004782313,0.0003620079],"category_scores_gemma":[0.00000911261,0.000117646,0.00005534938,0.0001188412,0.000101515,0.0002986362,0.00004076035,0.00006120228,0.0001485508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001580868,"about_ca_system_score_gemma":0.000001594456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007920655,"about_ca_topic_score_gemma":0.00007613733,"domain_scores_codex":[0.9992452,0.00002852437,0.000237034,0.0001777683,0.0001161215,0.0001953082],"domain_scores_gemma":[0.9996194,0.00002588633,0.00005336316,0.0002317374,0.00004152039,0.00002810423],"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":[0.0008128315,0.0004037192,0.0814766,0.0006739435,0.001949206,0.00001961593,0.05578236,0.60585,0.01674971,0.0004055818,0.02368469,0.2121917],"study_design_scores_gemma":[0.001209114,0.000170465,0.01987966,0.00009993574,0.0003862866,0.000001733811,0.0004177714,0.5703475,0.06733128,0.001782695,0.3374483,0.0009252421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7304689,0.0001850772,0.2607777,0.00003001782,0.0003193841,0.0001454274,0.0000150496,0.0002094658,0.007849063],"genre_scores_gemma":[0.9951561,0.0001000726,0.00276163,0.00004035921,0.0007066749,0.000008227807,0.0002185028,0.00003820052,0.0009702015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3137636,"threshold_uncertainty_score":0.4797464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998774476","doi":"10.1061/9780784481653.010","title":"Integrated Asset Management Planning of Wastewater Collection and Treatment Systems","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Asset (computer security); Sewage treatment; Wastewater; Business; Government (linguistics); Asset management; Environmental economics; Environmental science; Computer science; Environmental engineering; Finance; Economics","authors":[{"name":"Hamed Mohammadifardi","is_ca":true},{"name":"Mark A. Knight","is_ca":true},{"name":"Andrè Unger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01880753769244945,"gpt":0.2203594182193227,"spread":0.2015518805268732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005509087,0.00009878446,0.0001335001,0.00009263431,0.00003405174,0.0000283225,0.00002988323,0.00004148262,0.000009993821],"category_scores_gemma":[0.0000014414,0.00007317481,0.00001423247,0.0001044243,0.00001876467,0.00006090642,0.0000100579,0.00001575094,0.00001425459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004777016,"about_ca_system_score_gemma":0.000002992029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214151,"about_ca_topic_score_gemma":0.0000451905,"domain_scores_codex":[0.9995382,0.00001371357,0.0001935737,0.00009610015,0.00005801991,0.0001003586],"domain_scores_gemma":[0.9997893,0.000005640457,0.00002867431,0.00010172,0.00004922345,0.00002545247],"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":[0.0003131117,0.0002643845,0.02378937,0.00200038,0.001480249,0.00003810269,0.01117843,0.5930632,0.01247731,0.0004597233,0.3417419,0.01319379],"study_design_scores_gemma":[0.0009771769,0.0003864512,0.001146202,0.0003256159,0.00006989614,0.00002203485,0.0008886895,0.9289947,0.01167044,0.00001621269,0.0552564,0.0002461997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192425,0.0007642919,0.05999348,0.00002346378,0.002832771,0.0006982021,0.00002273356,0.0003313878,0.0160912],"genre_scores_gemma":[0.9941791,0.00005828683,0.001433744,0.000001821,0.0002180461,0.00002437044,0.00002416552,0.00001764845,0.004042807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3359315,"threshold_uncertainty_score":0.2983982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999175271","doi":"10.1061/9780784481660.023","title":"Transmission Pipeline Route Analysis to Support Growing Water Demand","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pipeline (software); Pipeline transport; Quarter (Canadian coin); Engineering; Operations research; Computer science; Geography; Environmental engineering; Mechanical engineering; Archaeology","authors":[{"name":"Daniel Huffines","is_ca":false},{"name":"Chris Leathers","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008925045363902883,"gpt":0.2275289125103228,"spread":0.2186038671464199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932084,0.0002621728,0.0003342883,0.0002996102,0.00009631939,0.00005672486,0.0002373756,0.0001470867,0.0006007406],"category_scores_gemma":[0.00001982509,0.0001907495,0.0001773759,0.0005078787,0.00003593779,0.0001520099,0.00003959385,0.0001503828,0.0003205209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003853617,"about_ca_system_score_gemma":0.000008166237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003448219,"about_ca_topic_score_gemma":0.00003114498,"domain_scores_codex":[0.9986202,0.00001300321,0.0003704951,0.0002920761,0.0002182595,0.0004859333],"domain_scores_gemma":[0.9992895,0.0000216814,0.00001200038,0.0003574497,0.0000779512,0.0002414231],"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":[0.00006647244,0.00004351164,0.0002161677,0.0001112734,0.0006475518,0.00002213866,0.0009525372,0.7919354,0.1109018,0.0001522519,0.0363508,0.05860003],"study_design_scores_gemma":[0.0005630991,0.0002405976,0.001083122,0.00003497632,0.0006376047,0.00002042425,0.00003950257,0.4748082,0.1012266,0.0008738614,0.4195911,0.0008809883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09437063,0.00009016039,0.9011558,0.0003908029,0.0005498796,0.0001174522,0.000009651737,0.0008094038,0.002506172],"genre_scores_gemma":[0.9891937,0.00002304477,0.008142908,0.0002491024,0.0007573463,0.00001014613,0.00005160217,0.00004949062,0.00152264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8948231,"threshold_uncertainty_score":0.777854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999960383","doi":"10.1061/9780784481653.029","title":"River Crossing Inspections—Balancing Risk with the Need to Obtain Advanced Pipeline Condition Assessment Data","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Aecom (Canada)","funders":"","keywords":"Software deployment; Pipeline transport; Computer science; Engineering; Risk analysis (engineering)","authors":[{"name":"Chris Macey","is_ca":true},{"name":"Adam Braun","is_ca":true},{"name":"Mike Gaudreau","is_ca":true},{"name":"Marv McDonald","is_ca":true},{"name":"Jordan Thompson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01335001747642762,"gpt":0.2651028058474648,"spread":0.2517527883710372,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003189494,0.0001755529,0.0001600843,0.0000797071,0.0004370344,0.0002023136,0.0002699658,0.00005055918,0.0000412541],"category_scores_gemma":[0.00003833248,0.0001184305,0.00001904266,0.0003310108,0.0001090664,0.0004245107,0.0000854817,0.0001291549,0.0001055315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009107854,"about_ca_system_score_gemma":0.0000382456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002128969,"about_ca_topic_score_gemma":0.001621271,"domain_scores_codex":[0.9989941,0.00004215257,0.0002555753,0.0002759947,0.0001894982,0.0002427518],"domain_scores_gemma":[0.9989562,0.0000384424,0.00007766045,0.0006682649,0.0001917199,0.00006772091],"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":[0.0000895901,0.00006732425,0.005669436,0.00008417074,0.0001188118,0.000006150916,0.003904063,0.6476759,0.002530377,0.000167472,0.3274994,0.01218721],"study_design_scores_gemma":[0.0008521212,0.0001314502,0.007348158,0.0001258294,0.00006742924,0.00001551527,0.0006630749,0.8879083,0.001543093,0.00009949858,0.100883,0.0003625535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234121,0.00007371291,0.8726649,0.0003138545,0.0008835056,0.0003754172,0.00009197214,0.000347578,0.001837016],"genre_scores_gemma":[0.9699882,0.0000159592,0.02742376,0.000136207,0.001385013,0.00002743626,0.0001661357,0.00004704654,0.0008102817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465761,"threshold_uncertainty_score":0.4829456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999942773","doi":"10.1061/9780784481653.013","title":"Proactive Management Strategy for Critical Buried Infrastructure","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Critical infrastructure; Computer science; Computer security","authors":[{"name":"G. White","is_ca":false},{"name":"Heather M. Edwards","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01343314742603842,"gpt":0.2752338232261775,"spread":0.261800675800139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009546294,0.0002108439,0.000184212,0.00006696773,0.0001231047,0.00006601574,0.000172064,0.0001241327,0.0003801963],"category_scores_gemma":[0.00008823323,0.0001843182,0.00006963356,0.0001369646,0.0002049647,0.0002100561,0.00003801622,0.0001150865,0.00002995482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095292,"about_ca_system_score_gemma":0.00002960442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003976837,"about_ca_topic_score_gemma":0.000006383188,"domain_scores_codex":[0.9989492,0.00001438938,0.0002428791,0.0002585071,0.0001315442,0.000403447],"domain_scores_gemma":[0.9992787,0.00007764399,0.00001688891,0.0002984143,0.0002348375,0.00009357116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004804327,0.0001614738,0.000578267,0.001775846,0.0006420494,0.00001825849,0.001792597,0.00638011,0.001390356,0.1006962,0.6813881,0.2046963],"study_design_scores_gemma":[0.001202041,0.0006751709,0.008560185,0.00004099436,0.0001855679,0.00002443635,0.002366179,0.05781111,0.00530921,0.629153,0.2937115,0.0009605853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02804393,0.0001749697,0.866806,0.0005352822,0.002226565,0.001403761,0.00006227195,0.0007638943,0.09998327],"genre_scores_gemma":[0.9724733,0.000009501005,0.02478122,0.0001438032,0.001843879,0.00009118103,0.00001749802,0.00004301552,0.0005966456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9444293,"threshold_uncertainty_score":0.7516277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999811262","doi":"10.1061/9780784481653.047","title":"A Rational Approach to Designing Spray Applied Polymeric Manhole Rehabilitation Products","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Aecom (Canada)","funders":"","keywords":"Structural integrity; Engineering; Pipeline transport; Rehabilitation; Infiltration (HVAC); Forensic engineering; Civil engineering; Structural engineering; Mechanical engineering; Materials science; Composite material","authors":[{"name":"Chris Macey","is_ca":true},{"name":"Adam Braun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009813010230760637,"gpt":0.2072582185956028,"spread":0.1974452083648421,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001641445,0.0001789209,0.0001614427,0.0001251286,0.00008204969,0.00004347803,0.0001471946,0.00008270289,0.00002132138],"category_scores_gemma":[0.000173619,0.0001688044,0.00003148543,0.0004087108,0.00005627443,0.0000777817,0.00002550039,0.0001119213,0.0001415392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004453033,"about_ca_system_score_gemma":0.0000204542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005946147,"about_ca_topic_score_gemma":0.000001632036,"domain_scores_codex":[0.999008,0.00001261872,0.0002467511,0.0002730033,0.0001916883,0.0002679191],"domain_scores_gemma":[0.9994735,0.00005991669,0.00002112326,0.0002757278,0.00008100535,0.0000887907],"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":[0.00008433618,0.0001241851,0.00004419653,0.0003449488,0.00007642643,8.200329e-7,0.001784426,0.4630227,0.4202379,0.01062401,0.08501428,0.01864183],"study_design_scores_gemma":[0.002916554,0.001417195,0.01634476,0.0002247658,0.0001712488,0.0001043478,0.001287823,0.4345921,0.2523638,0.01369315,0.2726255,0.004258753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04003983,0.0001538697,0.9390669,0.0004401633,0.0007274026,0.0004661902,0.000004774368,0.001046457,0.01805444],"genre_scores_gemma":[0.8344885,0.000001343447,0.1641329,0.00009602851,0.0009048638,0.00006421277,0.00001720043,0.00003689415,0.0002580637],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7944487,"threshold_uncertainty_score":0.6883643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000681679","doi":"10.1061/9780784481653.062","title":"Microtunnel Crossing of Alberta’s Busiest Highway","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Trenchless technology; Pedestrian; Transport engineering; Pedestrian crossing; Bridge (graph theory); Casing; Engineering; Civil engineering; Computer science; Pipeline transport; Mechanical engineering","authors":[{"name":"Duane Strayer","is_ca":false},{"name":"Craig Pass","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007990540038603755,"gpt":0.2206967072116733,"spread":0.2127061671730696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009531845,0.000157828,0.0002040952,0.00006144783,0.0001089539,0.00005614388,0.000164952,0.00009887909,0.0004359002],"category_scores_gemma":[0.00008829064,0.0001403968,0.00006321947,0.0001736556,0.0003885494,0.0001710467,0.00003984772,0.00008456956,0.00008557582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005708136,"about_ca_system_score_gemma":0.00005928223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005322551,"about_ca_topic_score_gemma":0.0004104928,"domain_scores_codex":[0.999144,0.00001292563,0.0003071772,0.0001596031,0.0001014188,0.0002748418],"domain_scores_gemma":[0.9992997,0.00006139877,0.00003947239,0.0003340042,0.0002063531,0.00005904911],"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":[0.000278271,0.0003468947,0.03823775,0.002038344,0.0004317886,0.00001512611,0.0296466,0.002938928,0.3485082,0.004630625,0.5129018,0.0600257],"study_design_scores_gemma":[0.001656284,0.0003799619,0.03642352,0.0001427594,0.00009852072,0.00005456897,0.001907341,0.02629266,0.2118783,0.02810508,0.6917096,0.001351448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504963,0.0002271176,0.02033101,0.0001494546,0.001257721,0.0001422211,0.000006499667,0.0001839669,0.02720566],"genre_scores_gemma":[0.9948672,0.000008312735,0.003094752,0.00007532351,0.0007582833,0.000003563342,0.000006360955,0.00002947484,0.001156752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1788078,"threshold_uncertainty_score":0.5725214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999608465","doi":"10.1061/9780784481660.011","title":"Results of a Full-Scale Fault-Offset Test on a Glass Fiber Reinforced Polymer Pipe","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Fibre-reinforced plastic; Materials science; Composite material; Offset (computer science); Strain gauge; Geotechnical engineering; Cracking; Glass fiber; Deformation (meteorology); Structural engineering; Geology; Engineering","authors":[{"name":"Hendrik Williams","is_ca":true},{"name":"Amir Fam","is_ca":true},{"name":"Ian D. Moore","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0083992741583541,"gpt":0.2182657838304491,"spread":0.2098665096720951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187195,0.0002564974,0.0002881059,0.0001250577,0.00005241936,0.00002346467,0.0002398225,0.0002001897,0.0001409267],"category_scores_gemma":[0.0002383482,0.0002182036,0.0001009189,0.0002689986,0.0001161939,0.00006824951,0.00004048527,0.0002014832,0.0003082134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003158373,"about_ca_system_score_gemma":0.00001686096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005580075,"about_ca_topic_score_gemma":0.00003026073,"domain_scores_codex":[0.9986626,0.000009697777,0.0005015097,0.000237219,0.0002417897,0.0003472085],"domain_scores_gemma":[0.9990372,0.0001602807,0.0000648405,0.0005231485,0.00009977823,0.0001147583],"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":[0.0008709395,0.0001503414,0.00003058697,0.0003868573,0.000194732,0.00001448018,0.0008158822,0.1552675,0.4803919,0.0008998794,0.3296626,0.0313143],"study_design_scores_gemma":[0.004043201,0.002141235,0.001399406,0.0004537283,0.0001049845,0.00009118617,0.00009208111,0.4276126,0.2993333,0.0004739704,0.2627374,0.001516876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7520943,0.00110941,0.07894929,0.001765933,0.005539751,0.001121874,0.0009492517,0.004973891,0.1534963],"genre_scores_gemma":[0.9873117,0.00001812023,0.00165702,0.00007512597,0.0007341752,0.00001050379,0.00003439451,0.00005235815,0.01010656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2723451,"threshold_uncertainty_score":0.8898085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000174550","doi":"10.1061/9780784481653.078","title":"Cast Iron Trunk Watermains in the City of Toronto","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Trunk; Cast iron; Computer science; History; Archaeology","authors":[{"name":"Jackie Siu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02373902694989178,"gpt":0.2834561698433259,"spread":0.2597171428934341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167999,0.0000626309,0.0000874957,0.000006897102,0.00002266586,0.000006501237,0.0001468311,0.00002794999,0.0001185146],"category_scores_gemma":[0.00001426107,0.00004125349,0.00002683227,0.00005558754,0.00005187938,0.0000436199,0.00001544892,0.00004075426,0.00004787249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000143663,"about_ca_system_score_gemma":0.000003278429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007459878,"about_ca_topic_score_gemma":0.001290805,"domain_scores_codex":[0.9996004,0.00001906793,0.0001325151,0.00007094793,0.00006212921,0.0001149394],"domain_scores_gemma":[0.9996793,0.00004075963,0.00001406623,0.000222651,0.00002445582,0.00001881471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006392138,0.001051096,0.007662647,0.0004014708,0.00006119212,0.000005416151,0.0211846,0.0005479729,0.5169025,0.02068317,0.04589744,0.3855385],"study_design_scores_gemma":[0.001243444,0.0003734913,0.6272479,0.00009486957,0.00006845402,0.00001192758,0.001488541,0.03915243,0.04507167,0.01691965,0.2675172,0.0008104783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783003,0.00009910446,0.006411871,0.0002114648,0.000171151,0.0001311503,0.00001027387,0.00004277528,0.01462185],"genre_scores_gemma":[0.9951908,0.00002180017,0.00420384,0.00004285748,0.0004214496,0.00001847709,0.000002672846,0.00000776209,0.0000903551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6195852,"threshold_uncertainty_score":0.1682269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000272076","doi":"10.1061/9780784481653.050","title":"When Transit Expansions Requires You to Really Understand Your Water System","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Public Health","funders":"","keywords":"Redundancy (engineering); Transit (satellite); Transit system; Public transport; Work (physics); Water supply; Transport engineering; Computer science; Rapid transit; Engineering; Environmental engineering","authors":[{"name":"Arthur E. Sinclair","is_ca":true},{"name":"Ali Ahmadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02714455311024397,"gpt":0.2285112035677868,"spread":0.2013666504575428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505373,0.000182217,0.0002050957,0.0001106164,0.0001099412,0.00007526454,0.0001568516,0.0001017754,0.00009375725],"category_scores_gemma":[0.00000564769,0.0001320851,0.00004887625,0.00008973039,0.00002849521,0.0001721232,0.00002606335,0.0000514368,0.0006989152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008428321,"about_ca_system_score_gemma":0.00001082728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410776,"about_ca_topic_score_gemma":0.0005927295,"domain_scores_codex":[0.9989292,0.00002235564,0.0003351782,0.0002192012,0.0001644632,0.0003296133],"domain_scores_gemma":[0.9993852,0.000007201605,0.00001689652,0.0003342264,0.0001242464,0.0001322787],"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":[0.0001421722,0.00006131884,0.0002370973,0.0008686795,0.0002108694,0.00003912794,0.05254635,0.09782244,0.041901,0.00100221,0.8032477,0.001921069],"study_design_scores_gemma":[0.002963066,0.0008710645,0.0003940763,0.001641027,0.0002719258,0.0001609925,0.0124697,0.3353232,0.1118021,0.0008927383,0.5305881,0.002621952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07153835,0.0001864203,0.8941101,0.001290645,0.003728112,0.0006127026,0.00004056378,0.001262267,0.02723081],"genre_scores_gemma":[0.9890888,0.00001152736,0.004044891,0.00007728203,0.001475555,0.00001788494,0.00002675587,0.00006642883,0.005190922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175504,"threshold_uncertainty_score":0.8983374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999982299","doi":"10.1061/9780784481660.001","title":"Water and Energy Efficiency: Transmission Operations Optimizer (TOO) City of Toronto Water Supply","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"IBI Group (Canada); Toronto Public Health","funders":"","keywords":"Water supply; Efficient energy use; Transmission (telecommunications); Computer science; Energy (signal processing); Environmental economics; Environmental science; Water resource management; Telecommunications; Environmental engineering; Engineering; Electrical engineering; Economics","authors":[{"name":"Gary M. Thompson","is_ca":true},{"name":"Rose Hosseinzadeh","is_ca":true},{"name":"A.Y. Allidina","is_ca":true},{"name":"Henry W. Polvi","is_ca":true},{"name":"Jacek Błaszczyk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008383317634524086,"gpt":0.2019680846251963,"spread":0.1935847669906722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001013444,0.0001311411,0.0001618863,0.00002764997,0.00007736002,0.00003251124,0.00008011937,0.00008271217,0.0005808043],"category_scores_gemma":[0.000002025714,0.00007650166,0.00003186939,0.00002182841,0.0000528572,0.0002229154,0.00002455365,0.00002550259,0.00001455567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002079,"about_ca_system_score_gemma":0.000005209474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005314,"about_ca_topic_score_gemma":0.0009464773,"domain_scores_codex":[0.9992646,0.00001778519,0.000267482,0.0001489108,0.0000980703,0.0002031639],"domain_scores_gemma":[0.9996593,0.000004943693,0.000007612859,0.0001631675,0.0001044849,0.00006051367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001487408,0.0003157591,0.001022972,0.0004666779,0.0001905262,0.000006129794,0.03248681,0.3507258,0.530188,0.0004261706,0.06070182,0.02332059],"study_design_scores_gemma":[0.0004731434,0.0001008246,0.00009904317,0.00003575518,0.00002246518,0.000006728573,0.00003949819,0.3558135,0.5855191,0.00002922592,0.05763964,0.0002210435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1831357,0.001091665,0.8047395,0.0002799851,0.001114517,0.0001778386,0.00001694669,0.0002246585,0.009219133],"genre_scores_gemma":[0.9906959,0.0001194661,0.004995801,0.00002894889,0.0003212109,0.00001124342,0.00005512546,0.00002533789,0.003746972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8075602,"threshold_uncertainty_score":0.63594,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999231499","doi":"10.1061/9780784481653.024","title":"The City of Ottawa’s Approach to Minimizing Risk through Its Condition Assessment Program","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Reliability engineering; Engineering","authors":[{"name":"Amanda Shane","is_ca":false},{"name":"Hamid Goorkani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01896467172617589,"gpt":0.2990353696290991,"spread":0.2800706979029232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000240722,0.0001510877,0.0001605139,0.00003189974,0.0001756618,0.00004294952,0.0001962752,0.00006718592,0.00001194596],"category_scores_gemma":[0.00007295373,0.0001056955,0.00005565434,0.0001696052,0.00008118636,0.0001218101,0.00004388409,0.0001418438,0.00002184132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005326899,"about_ca_system_score_gemma":0.0000211679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002629311,"about_ca_topic_score_gemma":0.00002275636,"domain_scores_codex":[0.999037,0.00002408149,0.0002906879,0.0001621219,0.000179973,0.0003061861],"domain_scores_gemma":[0.999364,0.00004442135,0.00007599376,0.0002686623,0.0002009387,0.0000460453],"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":[0.0001522086,0.000564675,0.02601136,0.0008094214,0.0007979878,0.000005271793,0.01064609,0.01826188,0.02905735,0.02017227,0.251443,0.6420785],"study_design_scores_gemma":[0.001073293,0.0006155046,0.0454671,0.0002041546,0.0001412686,0.00001585401,0.001769255,0.070002,0.1108007,0.002854009,0.7662215,0.0008353819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5012752,0.000626382,0.3117849,0.000184035,0.006485203,0.00178729,0.00006771759,0.000840138,0.1769492],"genre_scores_gemma":[0.9217463,0.00005925031,0.07646928,0.00002506722,0.001452801,0.00008799638,0.000008179375,0.00002623304,0.0001249121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6412431,"threshold_uncertainty_score":0.4310139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999570571","doi":"10.1061/9780784481646.018","title":"Challenges Associated with Designing Large Diameter Feedermain Interconnections","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science","authors":[{"name":"Daniel Meskell","is_ca":false},{"name":"Jacek Pawlus","is_ca":false},{"name":"Wendy Tian","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.035631870540257,"gpt":0.2346784811636591,"spread":0.1990466106234021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001419229,0.0001513077,0.0001533203,0.0001046031,0.00009572374,0.0000258107,0.0001412652,0.000117921,0.00008464018],"category_scores_gemma":[0.0001523354,0.0001212699,0.00003273487,0.0001575422,0.00009309778,0.000129297,0.00003978106,0.0001307653,0.000188285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004013301,"about_ca_system_score_gemma":0.000008973206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000497698,"about_ca_topic_score_gemma":0.0004747569,"domain_scores_codex":[0.9992927,0.0000174453,0.0001373786,0.0001621571,0.00008296197,0.0003073766],"domain_scores_gemma":[0.9995645,0.00008296406,0.00002660233,0.0002168505,0.00007384292,0.00003526938],"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":[0.0002142605,0.00140196,0.02683261,0.0005280226,0.003801232,0.0001676066,0.02200725,0.001698619,0.03112111,0.01950394,0.4258066,0.4669168],"study_design_scores_gemma":[0.01201152,0.005452136,0.05944457,0.003324067,0.0008345369,0.0003041687,0.03727418,0.2348375,0.2900447,0.03636056,0.3121736,0.007938395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.325578,0.003541615,0.5848734,0.001434995,0.001730843,0.0004365307,0.00003267449,0.00778163,0.07459029],"genre_scores_gemma":[0.9957384,0.0001840141,0.003412489,0.00005445662,0.0002381843,0.00002514483,0.000005941632,0.00004043751,0.0003009565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6701604,"threshold_uncertainty_score":0.4945244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999088157","doi":"10.1061/9780784481646.038","title":"New Deep Burial Testing Facility at Queen’s University","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Culvert; Geotechnical engineering; Soil water; Groundwater; Erosion; Water pipe; Geology; Environmental science; Engineering; Mining engineering","authors":[{"name":"Van Thien","is_ca":true},{"name":"Ian Moore","is_ca":true},{"name":"Neil A. Hoult","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01224557141495923,"gpt":0.1926493122104732,"spread":0.1804037407955139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005981757,0.0001620924,0.0001487183,0.00004984282,0.0001091041,0.00001966623,0.0001812214,0.0001259757,0.0002709667],"category_scores_gemma":[0.0001282427,0.0001626354,0.00005142771,0.0001840343,0.00005454893,0.00007700024,0.0000709555,0.000132591,0.0002714515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225162,"about_ca_system_score_gemma":0.00002206328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795244,"about_ca_topic_score_gemma":0.0001162615,"domain_scores_codex":[0.9992651,0.00001055616,0.000141885,0.0001876086,0.0001195463,0.0002752858],"domain_scores_gemma":[0.9994597,0.0000632057,0.00001730073,0.0002543395,0.00005983944,0.0001456212],"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":[0.0003126636,0.000065622,0.003245823,0.0003598998,0.0002856009,0.00007017318,0.001054561,0.3856911,0.0330658,0.002155734,0.3308672,0.2428258],"study_design_scores_gemma":[0.001453946,0.0002131655,0.009730593,0.00004767605,0.00007124706,0.00003809643,0.00007935351,0.1984461,0.005071525,0.002924463,0.7808699,0.001053976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1836429,0.0001630323,0.790514,0.0002769088,0.002998754,0.0002060706,0.00003790773,0.003054494,0.01910596],"genre_scores_gemma":[0.9794573,0.00001004573,0.01593488,0.00002060397,0.001228926,4.909224e-7,0.00001033377,0.0000200181,0.003317428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7958144,"threshold_uncertainty_score":0.6632079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}