{"id":"W6901566125","doi":"10.6068/dp14ba85718e432","title":"Trend 2006 - 2010. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Travel survey of residents of Canada, travel characteristics, by province visited | Variable: Type of accommodation, other paid accommodation, Overnight visits | Units: # Person-visits x 1,000, 2006-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-009.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Accommodation; Census; Official statistics; Hospitality; Economic statistics; Summary statistics; Descriptive statistics; Hospitality industry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001482555,0.001268258,0.002251036,0.000259071,0.0002482127,0.0002659626,0.002420916,0.0006784467,0.001758626],"category_scores_gemma":[0.000480269,0.001140392,3.83292e-7,0.0009932191,0.0004066382,0.0008996717,0.0006498213,0.000731864,0.000007860694],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004348572,"about_ca_system_score_gemma":0.03142701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999902,"about_ca_topic_score_gemma":0.9999754,"domain_scores_codex":[0.9917545,0.001188248,0.002141687,0.001612138,0.00234711,0.0009562727],"domain_scores_gemma":[0.9900751,0.001025197,0.00368707,0.003149803,0.001422806,0.0006400641],"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":[0.0005611603,0.0002199338,0.00391838,0.002808846,0.0008516417,0.00003384592,0.000007707054,0.00001251464,0.000104028,0.00004662937,0.9913293,0.00010599],"study_design_scores_gemma":[0.001831788,0.0001146602,0.02255525,0.0002461809,0.0007730463,0.00004999778,0.0001735894,0.003647847,0.000001017296,1.066474e-7,0.9694036,0.00120296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002765522,0.002301376,0.00001396809,0.000007530685,0.0005573867,0.001467814,0.9951731,0.00003725523,0.0004139338],"genre_scores_gemma":[0.0006929212,0.0004817597,0.0001184992,0.0001578757,0.00009136373,0.00001489795,0.9950374,0.0005099772,0.002895272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03099215,"threshold_uncertainty_score":0.9991539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977701075012794,"score_gpt":0.2347147042550016,"score_spread":0.2049376935048736,"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."}}