{"id":"W7111906631","doi":"","title":"Modélisation des épidémies de la tordeuse des bourgeons de l'épinette en forêt boréale québécoise : développement et application de nouvelles approches statistiques","year":2025,"lang":"fr","type":"other","venue":"Depositum (Université du Québec en Abitibi-Témiscamingue)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural regeneration; Pilotage","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":[0.001323118,0.0009846654,0.000980649,0.0006179776,0.0008224989,0.001978437,0.001649638,0.001570165,0.002787987],"category_scores_gemma":[0.00300237,0.0006063412,0.001252652,0.0004607877,0.0007172775,0.0005899975,0.0007066224,0.001440411,0.000229819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003616429,"about_ca_system_score_gemma":0.004730694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5156165,"about_ca_topic_score_gemma":0.3930484,"domain_scores_codex":[0.9996794,0.0001097119,0.00002045823,0.000078161,0.00005690289,0.0000554003],"domain_scores_gemma":[0.9976333,0.00157744,0.0001549272,0.00007725877,0.0004519119,0.0001050197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002178072,0.00002419804,0.004046144,0.00002348979,0.00004740128,0.00002460953,0.00001954345,0.9930872,0.0002205015,0.0004121725,0.0001745156,0.001898431],"study_design_scores_gemma":[0.000004972487,0.000009455985,0.0008696603,0.000006001294,0.000009718097,0.000002794297,0.00001447896,0.9987528,0.000053764,0.0001319542,0.0001406074,0.000003748701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8305815,0.001142291,0.1510314,0.001682636,0.0002171534,0.0002006692,0.002500077,0.000965169,0.01167905],"genre_scores_gemma":[0.9706756,0.0003539273,0.02309338,0.000138097,0.00003444585,0.0001864073,0.001236613,0.00007783339,0.00420353],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4843835,"threshold_uncertainty_score":0.9744723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004303869236418113,"score_gpt":0.2358162335571579,"score_spread":0.2315123643207397,"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."}}