{"id":"W1506320371","doi":"","title":"Prédiction de la sélection du microhabitat chez les juvéniles du saumon de l'Atlantique (Salmo salar) à l'aide de la régression logistique et des arbres de classification","year":2004,"lang":"fr","type":"article","venue":"Le dépôt institutionnel (Université du Québec à Trois-Rivières)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Salmo; Forestry; Biology; Geography; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001272711,0.0006241674,0.0004056435,0.0007091255,0.0003725283,0.001201312,0.0004271409,0.0004870939,0.001808569],"category_scores_gemma":[0.001862356,0.0001419205,0.0007283447,0.0006054793,0.000242623,0.000329819,0.0003598809,0.0004586223,0.0005406013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148585,"about_ca_system_score_gemma":0.001654822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08998492,"about_ca_topic_score_gemma":0.2199621,"domain_scores_codex":[0.999692,0.0001092613,0.00001518277,0.00007623197,0.00006633319,0.00004100622],"domain_scores_gemma":[0.9988055,0.0005892648,0.0001535732,0.00004408081,0.000308725,0.00009879525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005146905,0.0002007668,0.778888,0.0003003119,0.0003768978,0.0002218985,0.0006018922,0.03595291,0.03581007,0.0005556958,0.001531808,0.1450451],"study_design_scores_gemma":[0.00002516712,0.0006201599,0.8556718,0.0001049574,0.0002055986,0.00008580856,0.001728977,0.1309533,0.007299573,0.000291853,0.002966189,0.00004659506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776505,0.0005312177,0.01825779,0.0002734117,0.00003926759,0.00004457581,0.0006520777,0.0001671026,0.002384002],"genre_scores_gemma":[0.979752,0.0003367722,0.01412407,0.00004880235,0.00001714567,0.00004253407,0.0009562047,0.00002023321,0.004702158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08998492,"threshold_uncertainty_score":0.1789223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805201563527126,"score_gpt":0.2206364293083236,"score_spread":0.2025844136730523,"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."}}