{"id":"W7009091445","doi":"","title":"Développement d’un outil d’évaluation de la pertinence écologique et statistique d’indicateurs de suivi de l’intégrité écologique dans les parcs nationaux du Québec","year":2014,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université de Sherbrooke","keywords":"Statistical analysis; Context (archaeology); Term (time); Work (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02058927,0.00146622,0.001261825,0.005412103,0.002296319,0.005967972,0.002348576,0.001040068,0.006774562],"category_scores_gemma":[0.03287579,0.0007257108,0.001461176,0.005592192,0.001664774,0.001821948,0.002089653,0.001482819,0.0009523196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02284309,"about_ca_system_score_gemma":0.02658593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8520641,"about_ca_topic_score_gemma":0.8804243,"domain_scores_codex":[0.9883496,0.003879378,0.0005650861,0.001335667,0.005050554,0.000819748],"domain_scores_gemma":[0.918182,0.01369866,0.004825056,0.003638092,0.05760221,0.002054034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001097353,0.0006964354,0.7080302,0.002089237,0.001617848,0.0002642128,0.01006625,0.02345957,0.00649166,0.006010592,0.02743697,0.2127397],"study_design_scores_gemma":[0.0001381656,0.0008912744,0.878182,0.001243134,0.0006492209,0.00007977222,0.009606473,0.03660544,0.01201303,0.00136207,0.05891615,0.0003133188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7735854,0.003836946,0.1183495,0.00265045,0.0004642388,0.003582305,0.04223226,0.001473809,0.05382505],"genre_scores_gemma":[0.8447962,0.001463191,0.09259444,0.0007410587,0.00009508139,0.00315296,0.02424072,0.0005848492,0.03233158],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1479359,"threshold_uncertainty_score":0.2976143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304105915279005,"score_gpt":0.2345964092192147,"score_spread":0.2215553500664246,"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."}}