{"id":"W7133289299","doi":"","title":"Tendances des populations d'oiseaux du Canada","year":2019,"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":"Population; Context (archaeology); Field (mathematics); Population decline","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":[0.0004254394,0.0003274859,0.00039451,0.002784291,0.00243968,0.001990357,0.0006246307,0.0004586192,0.009959717],"category_scores_gemma":[0.00181262,0.0001850407,0.0004640261,0.00401591,0.0006763451,0.0004385806,0.0007918001,0.0005260871,0.0006338843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01566665,"about_ca_system_score_gemma":0.02211593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919543,"about_ca_topic_score_gemma":0.9948922,"domain_scores_codex":[0.9992231,0.00005870432,0.00002960782,0.0001074228,0.000317175,0.0002638873],"domain_scores_gemma":[0.9983644,0.0001819805,0.000200199,0.00004731164,0.0008503476,0.0003557373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005819167,0.00006592838,0.7487999,0.0006233066,0.0004877017,0.0007396749,0.02342805,0.001205418,0.003802378,0.01590706,0.04531391,0.1590447],"study_design_scores_gemma":[0.0000175998,0.0000400157,0.9129652,0.0002266093,0.00005983751,0.0002553015,0.01554144,0.0006993756,0.0004430249,0.0003365756,0.06935774,0.00005731793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197472,0.006909296,0.001089685,0.002874543,0.0001768006,0.0001008245,0.01861202,0.0002360287,0.05025348],"genre_scores_gemma":[0.9367023,0.004729285,0.000954947,0.000451822,0.00004104765,0.00005530581,0.003142038,0.0000726968,0.05385054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566665,"threshold_uncertainty_score":0.1136701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396564611038626,"score_gpt":0.2417576112797407,"score_spread":0.2277919651693544,"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."}}