{"id":"W7133290292","doi":"","title":"Évaluation du stock de saumon atlantique à T.-N.-L. en 2023 (ZPS 1 à 14B)","year":2025,"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; Aquatic environment; 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":[0.001271857,0.0004334102,0.0002953697,0.0008714732,0.0004991954,0.0007456377,0.0006155922,0.0003589141,0.00134383],"category_scores_gemma":[0.0007841199,0.0001841635,0.0005384245,0.000939613,0.000240373,0.0003901201,0.0003133125,0.0003346188,0.0004325717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943834,"about_ca_system_score_gemma":0.0006737143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04551854,"about_ca_topic_score_gemma":0.09943748,"domain_scores_codex":[0.9995115,0.00006520264,0.00002855134,0.0001185639,0.0002130301,0.0000631632],"domain_scores_gemma":[0.9986969,0.0001712664,0.0002312973,0.00006383051,0.0007027831,0.0001340297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017156,0.0002976116,0.8428994,0.0001174914,0.0002233634,0.0003235486,0.0007630077,0.003022803,0.1128817,0.0002204397,0.0006201263,0.03761319],"study_design_scores_gemma":[0.00002705492,0.002014134,0.9731058,0.0000190244,0.0001480236,0.0001144167,0.0006613887,0.003513805,0.01644121,0.00007792257,0.003857112,0.00002012221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.994449,0.0002633074,0.0009984634,0.00005600506,0.00001869976,0.00004288286,0.002070154,0.00002834541,0.002073116],"genre_scores_gemma":[0.9863729,0.0002245448,0.002524224,0.00007806572,0.000007838752,0.00007872243,0.006049536,0.00001129273,0.004652673],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9544815,"threshold_uncertainty_score":0.09050721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216285117092258,"score_gpt":0.2423779882827715,"score_spread":0.230215137111849,"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."}}