{"id":"W6907740726","doi":"10.25318/3410018301-fra","title":"Durée de vie utile moyenne prévue des nouvelles installations culturelles, sportives et de loisirs de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada","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":"Clothing industry; Beaker; Work (physics)","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":[0.0008487906,0.0008316761,0.0008564118,0.004261736,0.00104134,0.00206884,0.00132327,0.0006974021,0.01849894],"category_scores_gemma":[0.008015974,0.000449124,0.0010058,0.009762676,0.0004053776,0.0009676034,0.001014596,0.001344319,0.009651016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008202599,"about_ca_system_score_gemma":0.01439211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9204769,"about_ca_topic_score_gemma":0.9508175,"domain_scores_codex":[0.9990107,0.00009557566,0.000113207,0.0002393669,0.0003353475,0.0002057422],"domain_scores_gemma":[0.9946982,0.0007529028,0.0005348425,0.0003647031,0.003235761,0.0004137289],"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":[0.00008492485,0.00001724287,0.03022586,0.0007171349,0.00008173367,0.0000271635,0.0001965508,0.0006015624,0.00007464646,0.001000166,0.9598885,0.007084573],"study_design_scores_gemma":[0.00008902782,0.00001468491,0.2134053,0.0007255842,0.00007974355,0.00007467318,0.0008508063,0.001026475,0.0003835312,0.0006910789,0.7825818,0.00007732076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001073855,0.0001739166,0.00007590538,0.0001227854,0.00002053212,0.000008196843,0.9970424,0.00008828318,0.001394155],"genre_scores_gemma":[0.007647324,0.0003973358,0.0006191296,0.00008583668,0.00001539805,0.00008543397,0.9851903,0.00007662607,0.005882562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07952309,"threshold_uncertainty_score":0.1599828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006017490308043228,"score_gpt":0.2708349216605855,"score_spread":0.2648174313525423,"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."}}