{"id":"W7133283100","doi":"","title":"Évaluation du stock de morue du Nord (divisions 2J3KL de l’OPANO)","year":2022,"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":"Environmental factor; Economic shortage; Urban environment; 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":[0.0006228313,0.0003114176,0.0002501486,0.00194117,0.0002861267,0.0008564387,0.0003565288,0.0001915719,0.001882352],"category_scores_gemma":[0.0006759601,0.0001349174,0.0003714336,0.001788705,0.0001988713,0.0003949947,0.0005091344,0.000157752,0.0003962275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451038,"about_ca_system_score_gemma":0.0007013284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1050192,"about_ca_topic_score_gemma":0.1504466,"domain_scores_codex":[0.9997582,0.00002570911,0.00001623104,0.00005904701,0.00009123028,0.00004964955],"domain_scores_gemma":[0.9991918,0.00008669528,0.0001818809,0.00005099012,0.0003958458,0.00009277835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004285368,0.00005463729,0.9503603,0.00009300526,0.0002011987,0.0002055703,0.0005519163,0.007470208,0.005639038,0.0005172523,0.0006261792,0.03385211],"study_design_scores_gemma":[0.000008002419,0.0001010394,0.9909344,0.00002354699,0.00003068237,0.00004733219,0.0006208025,0.002808474,0.001325511,0.00006460516,0.004026935,0.000008780174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925869,0.0001773122,0.0004851462,0.00001733275,0.000005942454,0.00001816742,0.002876904,0.00002026243,0.003812009],"genre_scores_gemma":[0.9894716,0.0001517634,0.001485822,0.000008712212,0.000004658928,0.00003659662,0.004305902,0.00001427537,0.004520759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8949808,"threshold_uncertainty_score":0.2088159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179272205341203,"score_gpt":0.2467924546923443,"score_spread":0.228865234158224,"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."}}