{"id":"W6964152513","doi":"10.25318/3410013301-fra","title":"Société canadienne d'hypothèques et de logement, loyers moyens pour les régions de 10 000 habitants et plus","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Ether cleavage; Problem solver; Context (archaeology)","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":[0.004189823,0.001324856,0.001424731,0.01508299,0.001493568,0.003859664,0.001498354,0.0007805088,0.04954915],"category_scores_gemma":[0.03705503,0.0007217691,0.00250451,0.03103968,0.001065928,0.002895518,0.002239208,0.001583421,0.01744532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003639794,"about_ca_system_score_gemma":0.006782315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2292701,"about_ca_topic_score_gemma":0.2178148,"domain_scores_codex":[0.9953506,0.0007703169,0.0005710897,0.0009864952,0.00200444,0.0003170235],"domain_scores_gemma":[0.9812455,0.009130965,0.001837586,0.002027881,0.005230629,0.0005274743],"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":[0.0003938284,0.0001282562,0.3005976,0.005467263,0.001578118,0.0004076822,0.006551675,0.00455481,0.0008025966,0.0328003,0.4075899,0.239128],"study_design_scores_gemma":[0.00002415994,0.00006419419,0.2185074,0.001172004,0.0003468492,0.0003283028,0.00419131,0.000867149,0.0005459926,0.004583825,0.76926,0.0001087449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.09549141,0.03064868,0.02213061,0.004801882,0.002212593,0.0004682915,0.5910477,0.002628424,0.2505704],"genre_scores_gemma":[0.3943473,0.03224991,0.02807286,0.001258759,0.001216858,0.002548096,0.4095815,0.001669883,0.1290549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.77073,"threshold_uncertainty_score":0.4558711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191108775225791,"score_gpt":0.3098279262477807,"score_spread":0.2907170487252015,"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."}}