{"id":"W4386797201","doi":"10.17736/ijope.2023.jc897","title":"Insight: A Metocean and Ice Climatology Database for Offshore Newfoundland and Labrador","year":2023,"lang":"en","type":"article","venue":"International Journal of Offshore and Polar Engineering","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Submarine pipeline; Climatology; Geology; Oceanography; Database; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004064148,0.0009436323,0.0005940019,0.003057565,0.0007663526,0.001192201,0.001085966,0.0006354983,0.006046883],"category_scores_gemma":[0.001171077,0.0005345326,0.0006590686,0.004520637,0.0002544231,0.001039857,0.000888882,0.00054725,0.00297881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003332115,"about_ca_system_score_gemma":0.00672736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8746929,"about_ca_topic_score_gemma":0.9056996,"domain_scores_codex":[0.9997216,0.00002012317,0.00003385303,0.00007261588,0.00005768753,0.00009415969],"domain_scores_gemma":[0.9989384,0.000062172,0.0001361605,0.0001460786,0.0005612914,0.0001560508],"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":[0.0007146659,0.0003716972,0.1866553,0.0006408005,0.000833758,0.00049627,0.0005531884,0.01694523,0.005203229,0.000864954,0.7330019,0.05371895],"study_design_scores_gemma":[0.0005032048,0.00004875282,0.7047232,0.0002842074,0.0003960829,0.0001399322,0.00111836,0.02864302,0.004056715,0.0003195394,0.2595818,0.0001852028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06370385,0.0001979359,0.001037664,0.0001421591,0.00003201383,0.00008521981,0.9292471,0.002813109,0.002740977],"genre_scores_gemma":[0.04670477,0.0001429829,0.003115279,0.00004914939,0.00001061182,0.00009455172,0.9472277,0.0002350347,0.002419886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1253071,"threshold_uncertainty_score":0.2520902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237656358986967,"score_gpt":0.2453601582212009,"score_spread":0.2329835946313312,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}