{"id":"W2104337372","doi":"10.7202/007253ar","title":"Que pouvons-nous apprendre des profils de pauvreté canadiens?","year":2004,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009177858,0.0006578724,0.0006951136,0.003263577,0.003692734,0.007056672,0.001669361,0.0007417512,0.006378189],"category_scores_gemma":[0.03683943,0.0003789726,0.0005730857,0.005926455,0.005136125,0.003486564,0.0022555,0.00137894,0.0006664059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01258234,"about_ca_system_score_gemma":0.01749476,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7804644,"about_ca_topic_score_gemma":0.8394156,"domain_scores_codex":[0.9927741,0.002611587,0.0002892474,0.001397898,0.002013574,0.0009135728],"domain_scores_gemma":[0.9909011,0.002970045,0.001357414,0.001229459,0.003077603,0.0004644425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002074101,0.00007551667,0.5685987,0.0006767938,0.0003445051,0.0001959258,0.1640728,0.001008867,0.001159677,0.09556804,0.007084046,0.1610078],"study_design_scores_gemma":[0.00003176558,0.0001086974,0.6368358,0.00118304,0.0003441913,0.0003631598,0.1776159,0.003720209,0.002258626,0.04079282,0.1365647,0.0001810441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.809004,0.005207803,0.08320859,0.01327669,0.0003307353,0.001161736,0.006264998,0.0002638309,0.08128154],"genre_scores_gemma":[0.9598306,0.001401056,0.02176425,0.0008653617,0.0000386067,0.0005920541,0.0008743762,0.00009661756,0.01453705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195356,"threshold_uncertainty_score":0.4416571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04964722406158259,"score_gpt":0.2824996353692516,"score_spread":0.232852411307669,"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."}}