{"id":"W6964015057","doi":"10.25318/3410019101-eng","title":"Percentage of publicly owned culture, recreation and sport facilities which allow accessibility, by urban and rural, and by population size, Infrastructure Canada","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; Population; Rural 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":[0.0007514854,0.001224744,0.001325839,0.005179502,0.001091026,0.002132692,0.00266548,0.0007511607,0.03169192],"category_scores_gemma":[0.006703035,0.0007611085,0.001496183,0.01421905,0.0004369887,0.001385914,0.001398385,0.001944376,0.01109697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01369509,"about_ca_system_score_gemma":0.02641017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558753,"about_ca_topic_score_gemma":0.9600838,"domain_scores_codex":[0.9983897,0.00008075603,0.0001920402,0.000259551,0.000609773,0.0004681792],"domain_scores_gemma":[0.9944456,0.0003656172,0.0005819984,0.000197511,0.00394988,0.0004594422],"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":[0.00004591339,0.00001237427,0.00795142,0.0005832517,0.00004434264,0.0000202738,0.00004280281,0.000350461,0.0000250637,0.0008585645,0.9874769,0.002588555],"study_design_scores_gemma":[0.0003207284,0.00002451621,0.1589065,0.001250491,0.0001449017,0.0001207675,0.0008634139,0.001298451,0.0004742403,0.0007444222,0.8357725,0.00007915756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005034977,0.0001059495,0.00004293461,0.0001047369,0.00002820803,0.00001701229,0.997629,0.00004387919,0.001524745],"genre_scores_gemma":[0.00677029,0.0004594043,0.0002951492,0.0001332418,0.0000220054,0.0001329019,0.9857435,0.00005515377,0.006388342],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04412466,"threshold_uncertainty_score":0.1060201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004221629410585379,"score_gpt":0.2453858106245257,"score_spread":0.2411641812139403,"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."}}