{"id":"W6888964325","doi":"10.25318/1110019901-fra","title":"Enquête sur les dépenses des ménages (EDM), dépenses des ménages au titre du logement, selon les provinces et territoires","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Power (physics); Limiting; State (computer science)","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":[0.001385296,0.001267288,0.001127164,0.006197465,0.0008515631,0.001677603,0.001500376,0.001003925,0.02128381],"category_scores_gemma":[0.01194109,0.0005541951,0.001271237,0.01529627,0.00043421,0.001181713,0.001088831,0.00148147,0.01932261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004350907,"about_ca_system_score_gemma":0.007415797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4833322,"about_ca_topic_score_gemma":0.5610734,"domain_scores_codex":[0.9981199,0.0002032071,0.0003545942,0.0004411656,0.0005964329,0.0002846862],"domain_scores_gemma":[0.992775,0.00172672,0.0007126973,0.0007476094,0.003674199,0.0003638249],"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":[0.0001493342,0.00003410507,0.03212959,0.001215782,0.0001102402,0.00005429369,0.000137523,0.0005208205,0.0002166434,0.0008338191,0.9546015,0.009996459],"study_design_scores_gemma":[0.0001226616,0.00003105847,0.1532251,0.00079031,0.000102966,0.0001505971,0.000776661,0.0006184813,0.000744794,0.0007015079,0.8426594,0.00007642245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009188029,0.000130415,0.0000796811,0.00008982526,0.00002520134,0.00001238769,0.9976776,0.0000782659,0.0009877908],"genre_scores_gemma":[0.002357424,0.0002426329,0.0003371412,0.00005829959,0.00001219883,0.00007829431,0.994919,0.00003620525,0.001958672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5166678,"threshold_uncertainty_score":0.9610378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483631569871481,"score_gpt":0.2650585520880702,"score_spread":0.2402222363893554,"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."}}