{"id":"W7133280895","doi":"","title":"Réponse des Sciences : Mise à jour sur l’état du stock de panopes en 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":"Stock (firearms); Western europe; Alluvion","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":[0.002551234,0.0007321851,0.0003164716,0.002825672,0.0006575408,0.002002147,0.0009696655,0.0008408701,0.004946124],"category_scores_gemma":[0.003918027,0.0002569261,0.0003985847,0.003628304,0.0008694532,0.001352381,0.0007739253,0.0009830564,0.0005204774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007814906,"about_ca_system_score_gemma":0.005089891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4128248,"about_ca_topic_score_gemma":0.4836136,"domain_scores_codex":[0.9993704,0.00008763481,0.00007012643,0.0001258247,0.0002584423,0.00008763606],"domain_scores_gemma":[0.9972555,0.0003479716,0.0005415831,0.000110388,0.00143632,0.0003082303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004366533,0.00007417038,0.670983,0.00338121,0.0003646267,0.001306503,0.007346157,0.00197287,0.009237536,0.003846265,0.03176067,0.2692904],"study_design_scores_gemma":[0.00001016259,0.0001129159,0.9092684,0.0006623504,0.00007792915,0.000160134,0.004383988,0.0008306571,0.0008066156,0.0003715478,0.08325659,0.00005862229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6471236,0.2176423,0.00361242,0.06029002,0.005098024,0.000237794,0.02217492,0.000229544,0.04359145],"genre_scores_gemma":[0.9003472,0.06790353,0.005085273,0.004062744,0.0009829431,0.0001445444,0.006571898,0.00002862382,0.01487325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5871753,"threshold_uncertainty_score":0.8208438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371945051440154,"score_gpt":0.2493770242046357,"score_spread":0.2356575736902341,"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."}}