{"id":"W2736416700","doi":"10.7202/1058592ar","title":"Convergence des consommations entre classes socioéconomiques et contraintes non monétaires au Canada","year":2019,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Political science; Geography; Philosophy","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":[0.001702277,0.0002671337,0.0005773886,0.001830227,0.002604619,0.002487346,0.0009048803,0.0002958753,0.008747546],"category_scores_gemma":[0.004695525,0.0003502848,0.0005192987,0.005201906,0.001237288,0.0006494125,0.001153653,0.0005849688,0.0003264681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04738592,"about_ca_system_score_gemma":0.05701965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968997,"about_ca_topic_score_gemma":0.9979421,"domain_scores_codex":[0.9983979,0.0001752662,0.00005087275,0.0003236722,0.0005098378,0.0005424352],"domain_scores_gemma":[0.9956481,0.0007513527,0.0004919162,0.0002760176,0.002298389,0.0005341618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005437254,0.00006352161,0.8710989,0.0001892871,0.0003136044,0.0001512991,0.01520449,0.009707754,0.001845531,0.0224651,0.006593854,0.07182299],"study_design_scores_gemma":[0.000009459781,0.00001933723,0.9810485,0.00005175019,0.00003153381,0.00001270365,0.003705689,0.002916658,0.0003410518,0.0005316993,0.01130669,0.00002490838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795936,0.0007069275,0.001544759,0.0007216945,0.00001051255,0.00003456503,0.005567175,0.00005116358,0.01176954],"genre_scores_gemma":[0.9855929,0.0003998326,0.00120538,0.00006617701,0.000003514033,0.00002480994,0.002105372,0.00001928388,0.01058266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04738592,"threshold_uncertainty_score":0.3438105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960854463653606,"score_gpt":0.2029120217499205,"score_spread":0.1833034771133844,"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."}}