{"id":"W7133283451","doi":"","title":"Situations des populations d'oiseaux migrateurs 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":"GDG Environnement","funders":"","keywords":"Population; Government (linguistics); Set (abstract data type); Identification (biology); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005838575,0.0003230174,0.0002830483,0.001020826,0.01153498,0.002987705,0.001049757,0.001234199,0.009949144],"category_scores_gemma":[0.001384958,0.0001841498,0.000268793,0.002588395,0.001994076,0.0006681398,0.001974775,0.000756137,0.0004621185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02547206,"about_ca_system_score_gemma":0.0391802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871534,"about_ca_topic_score_gemma":0.995738,"domain_scores_codex":[0.9991034,0.0001016851,0.00001815443,0.00007739372,0.0002207313,0.0004787461],"domain_scores_gemma":[0.9990231,0.0001238227,0.0001235106,0.00003061026,0.0003354733,0.0003635302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005960918,0.0002377577,0.4811251,0.0008959282,0.0002123107,0.01575957,0.1600275,0.004013015,0.007754403,0.05382802,0.07311891,0.2024314],"study_design_scores_gemma":[0.00004435213,0.000163021,0.4594509,0.0004998024,0.00009407075,0.001888222,0.2933539,0.001585398,0.0009819051,0.003215864,0.2386006,0.0001220313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940286,0.001456157,0.000796354,0.007278058,0.0001396028,0.0001337613,0.001222272,0.0000603868,0.04862742],"genre_scores_gemma":[0.9576643,0.002285871,0.001368057,0.001196897,0.0000437243,0.00006877119,0.0004310079,0.0000254727,0.03691585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02547206,"threshold_uncertainty_score":0.1848136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532929910752949,"score_gpt":0.2423742618313068,"score_spread":0.2270449627237772,"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."}}