{"id":"W2104551107","doi":"","title":"COMPAS: UN MODÈLE DE MICROSIMULATION SANTÉ POUR LE QUÉBEC","year":2014,"lang":"fr","type":"article","venue":"Cahiers de recherche","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Microsimulation; Political science; Physics; Philosophy","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":[0.0004739467,0.0005389117,0.0004426369,0.0004689331,0.0008307861,0.001082365,0.001147627,0.000795297,0.007036794],"category_scores_gemma":[0.001731231,0.0003493876,0.0008018012,0.0006645002,0.0006051124,0.0005305755,0.000681563,0.0008481693,0.0005234892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005654646,"about_ca_system_score_gemma":0.007108763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7221224,"about_ca_topic_score_gemma":0.589619,"domain_scores_codex":[0.9997792,0.00007829354,0.000009764807,0.00004680783,0.00004352475,0.00004245289],"domain_scores_gemma":[0.9993818,0.0002195117,0.00005808786,0.00004503896,0.0002412504,0.00005428581],"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":[0.00004568835,0.00002936927,0.004704533,0.00004932894,0.00004491028,0.00005761971,0.0001077586,0.9645531,0.0006155895,0.02047412,0.002298442,0.007019494],"study_design_scores_gemma":[0.00002785486,0.00002944083,0.002156925,0.00001847193,0.00002922418,0.00001427185,0.00007551998,0.9851543,0.0002238879,0.003420581,0.008832759,0.00001658949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.385635,0.001171167,0.5064114,0.004703197,0.0004953204,0.0007174738,0.01317769,0.001633269,0.08605555],"genre_scores_gemma":[0.8855819,0.0007720226,0.07357308,0.0003355647,0.00006313378,0.0007930347,0.002666693,0.000172439,0.03604208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2778776,"threshold_uncertainty_score":0.559028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3162265275002829,"score_gpt":0.416247567668811,"score_spread":0.1000210401685282,"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."}}