{"id":"W7133268920","doi":"","title":"Évaluation du stock de sébaste canari (Sebastes pinniger) de la Colombie-Britannique en 2022","year":2023,"lang":"fr","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Economic analysis; Stock (firearms)","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":[0.001089515,0.0005114785,0.0002233035,0.002008522,0.0005561223,0.001076555,0.0007100506,0.0002774725,0.003009462],"category_scores_gemma":[0.001131729,0.000185003,0.0003265743,0.002503017,0.0004773622,0.0003705281,0.000494512,0.0002520918,0.0005489031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006783134,"about_ca_system_score_gemma":0.001861319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6034047,"about_ca_topic_score_gemma":0.8051275,"domain_scores_codex":[0.9993815,0.00004553141,0.00002971268,0.00009052195,0.0003702576,0.00008248596],"domain_scores_gemma":[0.9984989,0.00008537208,0.0001497581,0.00004640528,0.001083695,0.0001359019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002902923,0.00007150375,0.9559979,0.0001514079,0.0001607354,0.0003225463,0.0009472965,0.004780545,0.009769086,0.0003215642,0.001352233,0.02583495],"study_design_scores_gemma":[0.000006546711,0.0001393483,0.9919422,0.00002615407,0.00004178771,0.00004576899,0.001076814,0.001597473,0.001362937,0.00002262462,0.003721379,0.00001702927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986313,0.0005999742,0.0003231119,0.00009972503,0.00001705808,0.0001027654,0.004144388,0.00002673645,0.00837328],"genre_scores_gemma":[0.9834623,0.0004769554,0.001153363,0.00004986235,0.000006120906,0.00007049109,0.005144824,0.000009338332,0.009626907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965953,"threshold_uncertainty_score":0.7978618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109133687892297,"score_gpt":0.245882432625795,"score_spread":0.234791095746872,"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."}}