{"id":"W6932099211","doi":"10.5683/sp3/kfwjry","title":"Enquête sur la population active, avril 2023 [Canada] [Remanié 2025]","year":2023,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Research methodology; Publics; Social interest","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002602053,0.0007782725,0.0005854582,0.00377449,0.001766296,0.002383094,0.001645187,0.0006564342,0.009802626],"category_scores_gemma":[0.006121746,0.0003966531,0.001009869,0.009877565,0.0004286156,0.000688341,0.001133741,0.001580895,0.002486513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03518134,"about_ca_system_score_gemma":0.07903853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951661,"about_ca_topic_score_gemma":0.9940606,"domain_scores_codex":[0.9980776,0.000132148,0.0001223927,0.0002181665,0.00110876,0.0003408251],"domain_scores_gemma":[0.9920956,0.0002100386,0.0002362979,0.0001183652,0.006717712,0.0006219442],"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":[0.0001943019,0.0000319288,0.07176623,0.001276062,0.0002949339,0.00008002174,0.0007145581,0.001946204,0.000240101,0.005959303,0.8503516,0.06714473],"study_design_scores_gemma":[0.00006473115,0.00004317908,0.3794824,0.0009230704,0.0001636315,0.00005221785,0.001087405,0.001578458,0.0003959078,0.0006217886,0.6154986,0.0000886093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01230655,0.007467058,0.00250579,0.005959693,0.0009233675,0.0002639421,0.9307219,0.0003831464,0.03946842],"genre_scores_gemma":[0.1330243,0.01885867,0.01063756,0.005083748,0.0004180651,0.001034106,0.7587116,0.0002760252,0.0719559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03518134,"threshold_uncertainty_score":0.2552597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472586217073538,"score_gpt":0.2656746478946272,"score_spread":0.2409487857238918,"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."}}