{"id":"W6931780212","doi":"10.5683/sp3/axpfzj","title":"Enquête sur la population active, décembre 2018 [Canada] [Remanié 2025]","year":2018,"lang":"fr","type":"dataset","venue":"Borealis","topic":"Data Visualization and Analytics","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":[0.001880407,0.0008982393,0.0007317627,0.004057647,0.001920876,0.002492616,0.001747862,0.0006386379,0.01341469],"category_scores_gemma":[0.006335396,0.0004172933,0.000882318,0.009900863,0.0003895552,0.0007449448,0.001232994,0.001575544,0.003782626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03513579,"about_ca_system_score_gemma":0.07552405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995783,"about_ca_topic_score_gemma":0.9946312,"domain_scores_codex":[0.9982284,0.00009098033,0.0001273898,0.00021338,0.0009836087,0.0003561993],"domain_scores_gemma":[0.9920021,0.0001663824,0.0002159884,0.00009779588,0.006925782,0.0005919473],"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":[0.0001453516,0.0000222711,0.04437486,0.001049385,0.0001542134,0.00006941163,0.0005071142,0.0008668709,0.0001597192,0.002495818,0.9111903,0.03896474],"study_design_scores_gemma":[0.00007822767,0.00003778343,0.3417646,0.001029048,0.0001385764,0.00005321554,0.001127003,0.0009032142,0.000340277,0.000388093,0.654067,0.00007294667],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008053927,0.004797818,0.001013386,0.003712364,0.0006867183,0.000198672,0.9533651,0.0003292126,0.02784283],"genre_scores_gemma":[0.07802051,0.01317061,0.004177193,0.003467199,0.0003631123,0.0008694513,0.8330948,0.0002288804,0.06660827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03513579,"threshold_uncertainty_score":0.2549292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946098449411472,"score_gpt":0.2932144950737723,"score_spread":0.2637535105796576,"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."}}