{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002397685,0.001985022,0.001778599,0.0007950614,0.001737948,0.0007659482,0.001540466,0.0008079177,0.002586682],"category_scores_gemma":[0.001927702,0.002495322,0.0001674496,0.001162592,0.0005070363,0.001004564,0.0007953681,0.001386359,0.001457029],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01085187,"about_ca_system_score_gemma":0.007249471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7315542,"about_ca_topic_score_gemma":0.9396643,"domain_scores_codex":[0.9880534,0.00164232,0.002560631,0.002145875,0.003623965,0.001973755],"domain_scores_gemma":[0.9888372,0.001803543,0.003714431,0.001807804,0.00316604,0.0006710123],"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":[0.0002508278,0.001488422,0.004327726,0.002123842,0.001118302,0.0002198772,0.0004788148,0.005711232,0.0003882419,0.01876414,0.9626488,0.002479755],"study_design_scores_gemma":[0.002715703,0.0003386253,0.02801614,0.000879222,0.001202024,0.00002198042,0.003577553,0.009503206,0.0004908977,0.0008817868,0.9499103,0.002462492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001304602,0.0007035793,0.04206071,0.002748905,0.003809541,0.003260569,0.9454126,0.0001014502,0.0005980399],"genre_scores_gemma":[0.02371846,0.002987758,0.005562603,0.001108654,0.0002858152,0.0004825511,0.9605789,0.0005008474,0.004774388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2081101,"threshold_uncertainty_score":0.9995617,"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."}}