{"id":"W6910499052","doi":"10.4224/12340993","title":"Data collection program on ice regimes onboard the CCG icebreakers: 2002","year":2003,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Canadian Wood Council","funders":"Transport Canada","keywords":"Coast guard; Data collection; Arctic; Arctic ice pack; The arctic; Sea ice","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002600123,0.0009870445,0.0004993722,0.004509958,0.002340675,0.0007659449,0.001407409,0.0003279286,0.008274782],"category_scores_gemma":[0.003461209,0.0005528089,0.0002807271,0.003413991,0.0005837445,0.0004639286,0.001020869,0.0008156181,0.004013414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007543524,"about_ca_system_score_gemma":0.02101723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6866095,"about_ca_topic_score_gemma":0.8451095,"domain_scores_codex":[0.998226,0.0001638189,0.0001325531,0.0002685355,0.0009764489,0.0002325626],"domain_scores_gemma":[0.9874906,0.0005322176,0.0008154352,0.0007515788,0.009624723,0.0007854212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001879513,0.002340812,0.2965117,0.001391959,0.00009266328,0.0006938806,0.01083596,0.003009036,0.02672379,0.001481299,0.255765,0.3992745],"study_design_scores_gemma":[0.0002256849,0.0005562083,0.7932621,0.0002186891,0.00004692715,0.00007318862,0.004237506,0.001193092,0.008268084,0.0001302822,0.1917043,0.00008397522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3391688,0.000444255,0.01874385,0.0006885691,0.0002980235,0.06564801,0.4540662,0.00251202,0.1184302],"genre_scores_gemma":[0.2987215,0.001128577,0.09134397,0.0005346579,0.0001573817,0.08230141,0.4355795,0.000540625,0.08969232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3133905,"threshold_uncertainty_score":0.6304722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134803805558193,"score_gpt":0.3576414322625228,"score_spread":0.2441610517067034,"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."}}