{"id":"W7131755934","doi":"","title":"Enquête sur la population active, juin 2023 [Canada]","year":2023,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Current Population Survey; Population; Wage; Descriptive statistics; Official statistics; Survey data collection; Social insurance; Minimum wage","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":[0.0009023775,0.0006796093,0.0005948444,0.002019502,0.002659186,0.002625547,0.001392836,0.001001266,0.03561896],"category_scores_gemma":[0.002887606,0.0003136948,0.0009809892,0.003987778,0.0003377823,0.0007479602,0.0009365794,0.002328819,0.01004463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02808401,"about_ca_system_score_gemma":0.09114558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928336,"about_ca_topic_score_gemma":0.9932451,"domain_scores_codex":[0.9988079,0.00004454748,0.00005372729,0.0001029503,0.0005977675,0.0003932458],"domain_scores_gemma":[0.9977034,0.00004181157,0.00006238086,0.00002207968,0.001600169,0.0005703038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003914411,0.00001375539,0.005757331,0.0002978835,0.00002851937,0.00004340457,0.00007942215,0.000171397,0.00005325001,0.002177013,0.9696981,0.02164082],"study_design_scores_gemma":[0.00006789624,0.00002178428,0.07852646,0.0005475144,0.00004352472,0.00005610863,0.000400811,0.0004414416,0.00007839689,0.0004013298,0.9193786,0.00003619617],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006539274,0.01738505,0.0008301415,0.01997681,0.005158149,0.0005182813,0.7857963,0.000640362,0.1631556],"genre_scores_gemma":[0.09429403,0.03705275,0.00447926,0.01702697,0.001617298,0.001799555,0.4878511,0.0004157742,0.3554633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03561896,"threshold_uncertainty_score":0.2037647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536161888180466,"score_gpt":0.3071268070549221,"score_spread":0.2717651881731175,"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."}}