{"id":"W7133274690","doi":"","title":"Données utiles pour l'évaluation du potentiel de rétablissement des unités désignables de grand corégone (Coregonus clupeaformis) de petite taille et de grande taille du lac Opeongo","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":"Statistical analysis; Environmental factor; Agrégation; Life history","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":[0.004055283,0.0008996277,0.001463902,0.00162271,0.001637579,0.002494329,0.001112541,0.001043717,0.003214878],"category_scores_gemma":[0.00642144,0.0005232607,0.001435881,0.00272518,0.0009876052,0.0008643273,0.0008203076,0.001036945,0.000849869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005390084,"about_ca_system_score_gemma":0.00738662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2467681,"about_ca_topic_score_gemma":0.4864351,"domain_scores_codex":[0.9957442,0.0004071488,0.0003348329,0.0008192895,0.00238781,0.0003067499],"domain_scores_gemma":[0.9928685,0.001369509,0.0006792087,0.0003968569,0.004443343,0.0002425163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002363286,0.0003538753,0.1017459,0.00782106,0.0008774048,0.0006827653,0.003660144,0.006722752,0.7001212,0.001203525,0.004261511,0.1701866],"study_design_scores_gemma":[0.0001851229,0.002888594,0.4735305,0.001619101,0.002347855,0.0006511913,0.00684774,0.007642354,0.338624,0.001306458,0.1639872,0.0003699553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8966911,0.01596649,0.03818682,0.0005417427,0.0002734971,0.002012041,0.02470594,0.000628878,0.02099343],"genre_scores_gemma":[0.8420947,0.01082955,0.0973158,0.0008082427,0.00003297734,0.002951107,0.02552846,0.0003585736,0.02008056],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7532319,"threshold_uncertainty_score":0.4906636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819857032956237,"score_gpt":0.2407763237569821,"score_spread":0.2225777534274198,"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."}}