{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001728064,0.0005169869,0.0006608795,0.00009165727,0.0002396408,0.00008507371,0.000114569,0.0002714304,0.0000213123],"category_scores_gemma":[0.0009864121,0.0005393577,0.00001766234,0.0002047391,0.0002134093,0.0003245293,0.00006966164,0.000402803,3.181376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704415,"about_ca_system_score_gemma":0.0009398842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9614078,"about_ca_topic_score_gemma":0.97949,"domain_scores_codex":[0.9974832,0.0001419895,0.000609012,0.0004931697,0.0009706298,0.0003020248],"domain_scores_gemma":[0.9974591,0.0003542394,0.001172959,0.0002916938,0.0005243804,0.0001976468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008984793,0.00002587167,0.002747338,0.0007090383,0.00007900296,0.000004783007,0.000297832,0.00002184956,0.0003802041,0.0004162762,0.9948199,0.0004080412],"study_design_scores_gemma":[0.00114064,0.0003457691,0.8129766,0.0008484659,0.0008293462,0.00001970233,0.005431066,0.00178899,0.0004147676,0.0009219061,0.1738908,0.001391941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.251953,0.0002188267,0.00003071888,0.00000903546,0.0001309247,0.0005820849,0.7470595,0.000009577822,0.000006254605],"genre_scores_gemma":[0.3589462,0.0001059734,0.00004085756,0.00001055169,0.00003426793,0.00002724949,0.6406763,0.00002563868,0.0001329655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8209291,"threshold_uncertainty_score":0.9997058,"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."}}