{"id":"W6945118737","doi":"10.25318/1310046101-fra","title":"Insécurité alimentaire du ménage, selon la disposition de vie et le niveau d'insécurité alimentaire","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disposition; Consumption (sociology); Population","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":[0.0009820177,0.001370362,0.001243746,0.003197015,0.001093121,0.001959456,0.00262452,0.001197548,0.03038422],"category_scores_gemma":[0.007991502,0.000703334,0.001430391,0.009748355,0.0004354151,0.0008463237,0.001486912,0.001929108,0.01459458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055194,"about_ca_system_score_gemma":0.02072255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9407432,"about_ca_topic_score_gemma":0.9598334,"domain_scores_codex":[0.9991046,0.00007811054,0.0001182747,0.000176,0.0002687062,0.0002543899],"domain_scores_gemma":[0.9946767,0.0005539544,0.0005602625,0.0004557748,0.003212169,0.0005411215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009334039,0.00001393313,0.008172289,0.0003961129,0.00006522383,0.00001584659,0.00004976682,0.0002348016,0.00003514664,0.0004402867,0.9885902,0.001893111],"study_design_scores_gemma":[0.000541717,0.00002626739,0.2012115,0.001211666,0.0001501849,0.00009258484,0.0005323169,0.001032624,0.0002960837,0.0009096133,0.7938894,0.00010591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002424608,0.00004546949,0.00001724213,0.00006801054,0.00001077655,0.000005999748,0.9992167,0.00003539587,0.0003579101],"genre_scores_gemma":[0.001959345,0.0001192223,0.0001803016,0.00006761077,0.000008679744,0.00006932048,0.9958199,0.00002650238,0.001749008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05925679,"threshold_uncertainty_score":0.1192115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005959853271212246,"score_gpt":0.268357133908816,"score_spread":0.2623972806376038,"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."}}