{"id":"W6938665452","doi":"10.6068/dp14ba7bdf29710","title":"Trend 1996 - 2004. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Canadian travel survey, reallocated expenditures, by trip characteristics | Variable: Mode of transportation, automobile, Overnight visits | Units: $CAD x 1,000, 1996-2004. 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":"Official statistics; Census; Tourism; Descriptive statistics; Summary statistics; Economic statistics; Accommodation; Hospitality","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":["metaepi_narrow"],"category_scores_codex":[0.0009573319,0.001494202,0.002101665,0.0003047783,0.0003475969,0.0004406103,0.002176973,0.0009841908,0.001379345],"category_scores_gemma":[0.0001164968,0.001346048,2.5039e-7,0.0007883998,0.0004274877,0.0007358211,0.0001817853,0.0009867054,0.00001342803],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006483205,"about_ca_system_score_gemma":0.03401277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999968,"about_ca_topic_score_gemma":0.999997,"domain_scores_codex":[0.9920877,0.0008992504,0.001918527,0.001987997,0.001780354,0.001326167],"domain_scores_gemma":[0.9925461,0.000670089,0.001901259,0.002947288,0.0004244542,0.001510843],"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":[0.0003117357,0.0001419887,0.0004214857,0.001916548,0.0007979293,0.0003092153,0.000008666376,0.00003410568,0.0000162373,0.00008340845,0.995851,0.0001076829],"study_design_scores_gemma":[0.001969533,0.00009455797,0.0009891972,0.0001468808,0.001084589,0.0001256654,0.0001192053,0.005439462,1.093079e-7,1.337328e-7,0.9884213,0.001609334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000309732,0.005512285,0.000009493722,0.000003731983,0.0005502244,0.001557492,0.9918569,0.0001006539,0.0004061128],"genre_scores_gemma":[0.0004560829,0.001416708,0.00008987307,0.0002283098,0.0001206465,0.00004632219,0.9959413,0.0006664115,0.001034321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03336445,"threshold_uncertainty_score":0.9997807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871067416764314,"score_gpt":0.2295457839553522,"score_spread":0.2108351097877091,"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."}}