{"id":"W7055454409","doi":"","title":"Chute par-dessus bord de l’équipage des homardiers du Québec : analyse des risques et pistes de prévention","year":2014,"lang":"fr","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State agency; Statistical analysis; Limiting","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":[0.001220116,0.0004618933,0.0004261498,0.001079034,0.001855713,0.001328983,0.0008499459,0.000874234,0.005663608],"category_scores_gemma":[0.00315344,0.0003263997,0.0004857292,0.001749208,0.0006376305,0.0006415313,0.0007352729,0.001051612,0.0004634228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01025244,"about_ca_system_score_gemma":0.0106341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9212409,"about_ca_topic_score_gemma":0.961664,"domain_scores_codex":[0.9991205,0.0002081371,0.0000425268,0.0001056032,0.0002245497,0.0002986688],"domain_scores_gemma":[0.9974958,0.0003543321,0.0006210783,0.00006657986,0.001043828,0.0004184138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007814747,0.0001034017,0.9704341,0.0002561624,0.00009837851,0.0002858312,0.007531865,0.0001762132,0.0003749437,0.000328028,0.002055459,0.01827747],"study_design_scores_gemma":[0.000003186133,0.00007155599,0.9898375,0.0002779249,0.00003953736,0.0000623634,0.006916811,0.0003534211,0.00007389335,0.00004003181,0.002312507,0.0000112832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911901,0.002463359,0.0004991553,0.001161089,0.00002894182,0.0000884503,0.001125439,0.000007675104,0.003435822],"genre_scores_gemma":[0.9895526,0.002481642,0.000730424,0.0002899508,0.00002025176,0.00009662128,0.000815797,0.000006814653,0.006005861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07875907,"threshold_uncertainty_score":0.1584458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254484013564964,"score_gpt":0.2751624975258739,"score_spread":0.2626176573902242,"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."}}