{"id":"W6995920688","doi":"","title":"Prévision de l'état actuel du PIB québécois","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microinsurance; Statistical analysis; Maximum likelihood","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":[0.00390375,0.0006734591,0.0007214792,0.002359876,0.0009260851,0.003420446,0.001060811,0.0008172994,0.005861002],"category_scores_gemma":[0.01089955,0.000429257,0.0008062522,0.003723606,0.0005457121,0.001466477,0.0007866248,0.001274246,0.001131774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005795,"about_ca_system_score_gemma":0.008752758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9134854,"about_ca_topic_score_gemma":0.9159744,"domain_scores_codex":[0.9986499,0.0002254341,0.00007482823,0.0003835848,0.0004933626,0.0001729421],"domain_scores_gemma":[0.9944268,0.001463656,0.0005206482,0.0003638459,0.003033427,0.0001915021],"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":[0.0005006272,0.00008293963,0.7417955,0.0007146453,0.000817906,0.0004343253,0.002372588,0.08808585,0.002480903,0.01344535,0.02911443,0.1201549],"study_design_scores_gemma":[0.00003822639,0.0001358644,0.6195538,0.0007020808,0.0004165689,0.0001810759,0.003160834,0.2416815,0.003606116,0.004822867,0.1254505,0.000250599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348764,0.008344887,0.04666302,0.006434131,0.0003345903,0.0001812597,0.06721837,0.001016959,0.03493028],"genre_scores_gemma":[0.9383052,0.002372332,0.01356978,0.0004218237,0.00008254904,0.00007948428,0.02255009,0.0001615493,0.02245722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08651459,"threshold_uncertainty_score":0.1740481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005159494366728111,"score_gpt":0.2065801253637125,"score_spread":0.2014206309969844,"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."}}