{"id":"W6888868311","doi":"10.25318/3410018101-eng","title":"Inventory distribution of municipally owned culture, recreation and sport facilities by physical condition rating, urban and rural, and population size, Infrastructure Canada, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Distribution (mathematics); Population; Rural area","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":[0.000915383,0.001459133,0.00132126,0.004407943,0.001207224,0.001791252,0.002753403,0.0007228702,0.03589244],"category_scores_gemma":[0.007353595,0.0008747656,0.001433301,0.01575922,0.0003866442,0.0009981428,0.001368036,0.001646262,0.01382782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01452753,"about_ca_system_score_gemma":0.03129637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.96019,"about_ca_topic_score_gemma":0.9636148,"domain_scores_codex":[0.998621,0.00007839535,0.0001754343,0.0002450632,0.0005396202,0.0003404848],"domain_scores_gemma":[0.9923531,0.0003706381,0.000548709,0.0002990582,0.005933281,0.0004951533],"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":[0.00004843846,0.00001455674,0.008958801,0.000510665,0.00005884594,0.00001438153,0.00004115736,0.0002501892,0.00002789764,0.0004601068,0.9873931,0.002221994],"study_design_scores_gemma":[0.0003567851,0.00002845957,0.2210001,0.001310755,0.0001608554,0.00007922659,0.000832562,0.001089427,0.0004246884,0.0006418275,0.7739841,0.00009131072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003182037,0.00003795093,0.0000291673,0.00004434006,0.00001288192,0.00001625636,0.9988417,0.00002948687,0.0006700161],"genre_scores_gemma":[0.003000637,0.0001689504,0.0002386699,0.0000640781,0.000008575077,0.0001568044,0.993341,0.00002984448,0.002991326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03981,"threshold_uncertainty_score":0.1200722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003856515760740276,"score_gpt":0.245554273283075,"score_spread":0.2416977575223347,"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."}}