{"id":"W7133278616","doi":"","title":"Évaluation des stocks de crabes des neiges du plateau néo-écossais en 2024","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":"Lahar; Hydric soil; Environmental factor","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":[0.0005518949,0.0002739744,0.000214942,0.000796234,0.0003573385,0.0005411132,0.0003255128,0.0002803908,0.001370278],"category_scores_gemma":[0.0006359566,0.0001556588,0.0003477653,0.0006892403,0.0002482623,0.0003532555,0.0002955243,0.000168449,0.0003745636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000815636,"about_ca_system_score_gemma":0.0005004546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03160096,"about_ca_topic_score_gemma":0.06647561,"domain_scores_codex":[0.9998338,0.00002054908,0.00001113275,0.00003915091,0.00006547277,0.0000298814],"domain_scores_gemma":[0.9994791,0.00004810934,0.00009794184,0.00002705797,0.0002761954,0.0000715713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003443353,0.00009078937,0.9639186,0.00004742376,0.00008606569,0.0002903321,0.0003990461,0.002513441,0.02018201,0.0001512025,0.0001411409,0.0118355],"study_design_scores_gemma":[0.000005420231,0.000270128,0.9934868,0.000008636085,0.00002275067,0.000074804,0.0004867063,0.001816362,0.002326379,0.00003967722,0.001455442,0.000006866573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984146,0.00007508435,0.0001836249,0.00001026829,0.000002360317,0.000006810104,0.0004641431,0.000004777312,0.0008384025],"genre_scores_gemma":[0.9936163,0.0000874785,0.0005754963,0.00001077815,0.000002265869,0.00002963216,0.001702669,0.000003393955,0.003971996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.968399,"threshold_uncertainty_score":0.06283402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196046592372513,"score_gpt":0.244279231627085,"score_spread":0.2323187657033599,"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."}}