{"id":"W6939502399","doi":"10.6068/dp14ba8b4a66c45","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Amusement and recreation, operating expenses, by North American Industry Classification System (NAICS) | Variable: Utilities and telecommunications expenses, Fitness and recreational sports centres | Units: %, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Amusement; Census; Entertainment; Socioeconomic status; Descriptive statistics; Official statistics; Tourism; Economic statistics","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":[0.001593581,0.002390899,0.002511868,0.009366233,0.002885564,0.004897291,0.004931713,0.001449891,0.08264004],"category_scores_gemma":[0.01589407,0.001556832,0.001774199,0.04493875,0.0006615467,0.00256635,0.002211609,0.003045279,0.05597423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03963359,"about_ca_system_score_gemma":0.1090605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991053,"about_ca_topic_score_gemma":0.989426,"domain_scores_codex":[0.9962671,0.0002112479,0.0003980024,0.0005163934,0.001712707,0.0008946023],"domain_scores_gemma":[0.9704404,0.001273601,0.001007028,0.0008478469,0.0250041,0.00142703],"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":[0.0000150997,0.000005582725,0.0008448625,0.0001594882,0.00001418942,0.000005528377,0.0000154748,0.00009561097,0.000006748028,0.0002894504,0.9975562,0.0009917077],"study_design_scores_gemma":[0.0001189672,0.000009393766,0.02042734,0.000723856,0.00005492449,0.00002571393,0.0005290294,0.0005167929,0.000180047,0.0005886023,0.976755,0.00007043739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004966788,0.00003405709,0.00001595213,0.00008755867,0.00001724409,0.00000801966,0.9991453,0.0000405495,0.0006016181],"genre_scores_gemma":[0.0005314869,0.0001670575,0.0001807199,0.00008388489,0.00001193524,0.00006209339,0.9964155,0.00006563368,0.002481703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08264004,"threshold_uncertainty_score":0.2875632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934551833490791,"score_gpt":0.2456593639818031,"score_spread":0.2163138456468952,"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."}}