{"id":"W6901310019","doi":"10.6068/dp14ba81337c958","title":"Trend 1997 - 2005. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Table: Summary statistics for arts, entertainment and recreation | Variable: Skiing facilities, Operating profit margin | Units: , 1997-2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-011.","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; Economic statistics; Descriptive statistics; Official statistics; Entertainment; Census; Summary statistics; Publishing; The Internet","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":[0.002369642,0.002464189,0.002701946,0.00975697,0.003737159,0.005550957,0.004942012,0.001512236,0.09762841],"category_scores_gemma":[0.02017742,0.001773193,0.00203904,0.04586609,0.0007276402,0.002927069,0.00244883,0.003338465,0.05915681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06271387,"about_ca_system_score_gemma":0.1865844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955332,"about_ca_topic_score_gemma":0.9935094,"domain_scores_codex":[0.9943194,0.0003342155,0.0005753885,0.0006538669,0.00287027,0.001246818],"domain_scores_gemma":[0.9544127,0.0014166,0.001158839,0.00113721,0.03992553,0.001949153],"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":[0.00002058243,0.000006231739,0.0009352607,0.0002169277,0.00001935605,0.000006730949,0.00002084734,0.0001097031,0.00000938449,0.0004378853,0.9964663,0.001750768],"study_design_scores_gemma":[0.0001028283,0.00001128835,0.01887475,0.0008091068,0.00006252322,0.00002331363,0.0005000022,0.0004627509,0.0001708578,0.0006539901,0.9782495,0.00007910614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006250039,0.00006313787,0.00003516784,0.0001775931,0.0000419657,0.00001925479,0.9981698,0.00007297091,0.001357634],"genre_scores_gemma":[0.001088264,0.0003936162,0.0005230465,0.0002315054,0.0000246891,0.0001427045,0.9910069,0.000156895,0.006432379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09762841,"threshold_uncertainty_score":0.4550231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001781529812398,"score_gpt":0.2317654298349586,"score_spread":0.2117476145368346,"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."}}