{"id":"W6945327875","doi":"10.25318/2210011001-fra","title":"Utilisation des technologies, selon le groupe d'âge et le sexe, Canada, provinces et régions","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":"Limiting; Research methodology; Context (archaeology)","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":[0.00162894,0.0009334187,0.001030767,0.007851802,0.001429417,0.002863685,0.001227766,0.0005202678,0.01834211],"category_scores_gemma":[0.01300274,0.0004317854,0.001944544,0.02221443,0.0008271616,0.001801459,0.001379495,0.001193812,0.002920023],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01028278,"about_ca_system_score_gemma":0.02355907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8984924,"about_ca_topic_score_gemma":0.8955044,"domain_scores_codex":[0.9966546,0.0002538143,0.0004288458,0.0004494716,0.001788623,0.0004247413],"domain_scores_gemma":[0.9907342,0.002709821,0.000973173,0.0003859714,0.004865831,0.0003310349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005150386,0.00007770011,0.5308161,0.01036042,0.001638076,0.0003573298,0.008728551,0.002457388,0.0007628149,0.007886593,0.1534705,0.2829295],"study_design_scores_gemma":[0.00002439807,0.00006480268,0.559052,0.005038026,0.0006985859,0.0003601916,0.008952645,0.000379133,0.0008882901,0.0008451376,0.4235927,0.0001041419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1825007,0.05367818,0.004115078,0.003137649,0.0006010751,0.0005800806,0.6064959,0.0006193958,0.148272],"genre_scores_gemma":[0.5440199,0.08704054,0.01374011,0.001861187,0.0002189947,0.001689095,0.2393851,0.0005866863,0.1114584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9897172,"threshold_uncertainty_score":0.2042108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277438652034078,"score_gpt":0.2632605660256366,"score_spread":0.2504861795052958,"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."}}