{"id":"W6889100439","doi":"10.25318/4610004301-fra","title":"Taille convenable du logement et état du logement, selon le mode d’occupation, y compris les logements sociaux et abordables, 2018, inactif","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":"Context (archaeology); Population; State government; Population fragmentation","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":[0.0008491247,0.001259896,0.00100614,0.003659276,0.001133247,0.002297745,0.00191396,0.001131931,0.02974583],"category_scores_gemma":[0.007649959,0.0004606,0.0009198551,0.007678319,0.0004435963,0.001250505,0.00127286,0.001636401,0.0267689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006866138,"about_ca_system_score_gemma":0.01237737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8341575,"about_ca_topic_score_gemma":0.9111155,"domain_scores_codex":[0.9990091,0.00008353323,0.00007940554,0.0002412138,0.0003213178,0.0002653501],"domain_scores_gemma":[0.995852,0.0005832104,0.0003393604,0.0004105275,0.002426386,0.0003884524],"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":[0.00005620099,0.00001231371,0.007268124,0.0002271996,0.0000242291,0.00001819054,0.00004860276,0.000289964,0.00004815642,0.0004889845,0.988926,0.002592113],"study_design_scores_gemma":[0.000152379,0.00001299162,0.05948337,0.0003981043,0.00004840024,0.0000559689,0.0004405449,0.001048359,0.000289521,0.0007457939,0.937277,0.0000474713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004855413,0.00009873085,0.00003585616,0.00009179334,0.00002187575,0.000004551327,0.9983963,0.00009058281,0.0007747061],"genre_scores_gemma":[0.001987988,0.0001052603,0.0002065721,0.00004616549,0.00001210883,0.00003147552,0.99512,0.00003808913,0.002452296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1658425,"threshold_uncertainty_score":0.3336384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01858140231501782,"score_gpt":0.3019838119286862,"score_spread":0.2834024096136684,"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."}}