{"id":"W7133273757","doi":"","title":"Évaluation du potentiel de rétablissement du requin-taupe bleu (Isurus oxyrinchus) – Unité désignable de l’Atlantique Nord","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":"Population; BLEU; Ile de france; Statistical analysis","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":[0.002616959,0.0005221994,0.0005971,0.0008351933,0.0007207859,0.00148144,0.001019965,0.0007183032,0.002841651],"category_scores_gemma":[0.00210029,0.0002654046,0.0007124769,0.0007120445,0.0007539612,0.0007690654,0.0007970858,0.0005757813,0.0005294204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003043171,"about_ca_system_score_gemma":0.002199964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03943272,"about_ca_topic_score_gemma":0.08275729,"domain_scores_codex":[0.9984034,0.0002950623,0.0001084509,0.0003336753,0.0007123819,0.0001472004],"domain_scores_gemma":[0.9978364,0.0003633571,0.0004236723,0.0001422184,0.001004334,0.0002300031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00371627,0.0005954719,0.1305156,0.002532647,0.0003645369,0.0006369555,0.002429103,0.01316657,0.6783155,0.001995573,0.001424299,0.1643075],"study_design_scores_gemma":[0.0002263877,0.01441422,0.6120415,0.000548458,0.001071139,0.0005814179,0.006301321,0.009638999,0.2732383,0.0009486148,0.08079006,0.000199662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801287,0.001664839,0.005850628,0.0001557631,0.00006198465,0.0003510854,0.0007336373,0.0001228495,0.01093045],"genre_scores_gemma":[0.9684811,0.001423684,0.01627714,0.0001503352,0.00001658287,0.0003945189,0.001531386,0.00006573888,0.0116595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9605673,"threshold_uncertainty_score":0.07840639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500622873228397,"score_gpt":0.23466612927648,"score_spread":0.219659900544196,"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."}}