{"id":"W7000265811","doi":"","title":"Estimation de l’aire des refuges thermiques potentiels en rivière par 
\\nl’utilisation du Modèle additif généralisé (GAM) et le Modèle de régression 
\\nmultivariée par splines adaptatifs (MARS): Étude de cas de la rivière Ste-Marguerite (Québec, Canada).","year":2020,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Time lag; Error analysis","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":[0.001172303,0.0006541855,0.0006087393,0.0007542601,0.000612714,0.001340707,0.001025555,0.0005699114,0.002306454],"category_scores_gemma":[0.001880039,0.0003828631,0.001239397,0.001373692,0.0004596479,0.0005948452,0.0006566034,0.0007076707,0.0005906837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004264412,"about_ca_system_score_gemma":0.006097492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.821559,"about_ca_topic_score_gemma":0.8928135,"domain_scores_codex":[0.9996146,0.00007585066,0.00001262859,0.0001239301,0.000111314,0.00006164063],"domain_scores_gemma":[0.9993963,0.000192315,0.00006760782,0.00004342294,0.0002591104,0.00004125491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007558782,0.0001919632,0.6005347,0.0006717416,0.0008845215,0.0004049237,0.002435425,0.1839019,0.02761078,0.003217442,0.005108211,0.1742827],"study_design_scores_gemma":[0.00005089121,0.000202866,0.5808048,0.000163041,0.0002023574,0.000100841,0.001893844,0.3969406,0.004991196,0.00125726,0.01326035,0.0001319524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8959579,0.001574277,0.09064097,0.000471711,0.00007515077,0.0001505139,0.004727664,0.0005652823,0.005836575],"genre_scores_gemma":[0.9544513,0.0006837851,0.03307179,0.00006257211,0.00001072762,0.0001152362,0.003505114,0.000112419,0.007987004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.178441,"threshold_uncertainty_score":0.3589838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03898706101701724,"score_gpt":0.2751542891371735,"score_spread":0.2361672281201563,"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."}}