{"id":"W6957775049","doi":"10.6068/dp14ba808373031","title":"Trend 2007 - 2010. Statistics Canada. CANSIM: Business, Consumer and Property Services - Personal Services | Country: Canada | Table: Personal services, operating expenses, by North American Industry Classification System (NAICS) | Variable: Rental and leasing, Other personal services | Units: %, 2007-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-012.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Descriptive statistics; Economic statistics; Renting; Official statistics; Summary statistics; Socioeconomic status; Service (business); Personal income","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":[0.001772484,0.002612799,0.002695756,0.009084783,0.003384549,0.005321005,0.005306197,0.001571521,0.08114398],"category_scores_gemma":[0.01689817,0.001684606,0.002061247,0.04312022,0.0007201387,0.002851253,0.002422539,0.003251179,0.0634606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04717164,"about_ca_system_score_gemma":0.1223463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936422,"about_ca_topic_score_gemma":0.992474,"domain_scores_codex":[0.9959794,0.0002390069,0.0003817334,0.0005776131,0.001845346,0.0009768666],"domain_scores_gemma":[0.9680505,0.00105816,0.0008739866,0.0009761445,0.02750405,0.001537249],"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":[0.000015465,0.000004735648,0.0006957185,0.0001430047,0.00001462889,0.000005298431,0.00001588515,0.00008172916,0.000007382646,0.0002936113,0.997715,0.001007542],"study_design_scores_gemma":[0.0001123156,0.000009261857,0.01549981,0.0006430238,0.00005675723,0.00002417036,0.0004543682,0.0004870333,0.00016828,0.0006247599,0.981847,0.00007324806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004619095,0.00004179736,0.0000212055,0.0001158036,0.0000244554,0.000009412647,0.9989416,0.00005958294,0.0007399548],"genre_scores_gemma":[0.0005312667,0.0001873155,0.0002542313,0.0001150917,0.00001433379,0.00006749661,0.9959415,0.00009037327,0.00279846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08114398,"threshold_uncertainty_score":0.3422558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959986599910186,"score_gpt":0.2319703017827131,"score_spread":0.2123704357836113,"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."}}