{"id":"W2752575635","doi":"","title":"Dynamique des populations de saumon atlantique (Salmo salar) à l'échelle de son aire de répartition : séparer les différentes échelles dans les facteurs de forçage par une approche de modélisation hiérarchique bayésienne","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Forestry; Political science; Philosophy","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":[0.001244858,0.0003306466,0.000399599,0.0004413754,0.0003948091,0.00129068,0.001047565,0.001004064,0.001666073],"category_scores_gemma":[0.003159899,0.0004215731,0.0009924202,0.0004461995,0.0005747876,0.0008737152,0.0006004894,0.000661875,0.0002268291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516802,"about_ca_system_score_gemma":0.001177752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07634987,"about_ca_topic_score_gemma":0.05514281,"domain_scores_codex":[0.9997587,0.0001041952,0.000007893079,0.00007369577,0.00002592398,0.00002955114],"domain_scores_gemma":[0.9988356,0.0007057401,0.0001798759,0.00007213771,0.0001502625,0.00005635734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007006468,0.00002266847,0.04345232,0.00004172492,0.0001341683,0.0000686266,0.0002594024,0.9336966,0.001885749,0.008796292,0.0005297964,0.01104255],"study_design_scores_gemma":[0.000007214411,0.00001476707,0.00629091,0.00000852409,0.00002393779,0.00001589469,0.00005895183,0.9898862,0.00009093446,0.003258301,0.0003355237,0.000008813565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8140473,0.0007763394,0.1776749,0.001808896,0.00006513327,0.00004593795,0.000507045,0.0002144657,0.004859915],"genre_scores_gemma":[0.9818964,0.0002354692,0.01396467,0.0001261694,0.00002465098,0.00005369066,0.0003275813,0.00003189933,0.003339315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07634987,"threshold_uncertainty_score":0.1518109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02481733946023023,"score_gpt":0.2474244362048239,"score_spread":0.2226070967445937,"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."}}