{"id":"W6957589078","doi":"10.6068/dp14ba80cfd1c68","title":"Trend 1996 - 2004. Statistics Canada. CANSIM: Business, Consumer and Property Services - Accommodation and Food | Country: Canada | Table: Canadian travel survey, travel characteristics, by province visited | Variable: Purpose of travel, pleasure, Total visits | Units: # Person-trips 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":"Tourism; Census; Official statistics; Accommodation; Economic statistics; Hospitality; Summary statistics; Descriptive 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":[0.002385145,0.002733177,0.002812454,0.009371942,0.003527796,0.005051874,0.005348839,0.001480189,0.09176755],"category_scores_gemma":[0.01951655,0.001899495,0.002272857,0.04505325,0.0006643957,0.002703329,0.002270468,0.003315303,0.05589466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05557487,"about_ca_system_score_gemma":0.1480057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957368,"about_ca_topic_score_gemma":0.9938321,"domain_scores_codex":[0.9954749,0.000307217,0.0005131089,0.0005890785,0.00208224,0.00103353],"domain_scores_gemma":[0.9678578,0.001084496,0.0009310863,0.0009767562,0.02759316,0.001556678],"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":[0.00002528398,0.000005858607,0.0009828298,0.0002746754,0.00002245742,0.000007717955,0.00002411614,0.0001106507,0.000009482895,0.0003591208,0.9964474,0.001730369],"study_design_scores_gemma":[0.0001480598,0.00001261547,0.0236531,0.0009333004,0.00008625219,0.00002875634,0.0004974254,0.0004481882,0.0001551639,0.0005926887,0.9733612,0.0000831905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005168229,0.00006436573,0.0000279156,0.0001303202,0.00003440604,0.00001560876,0.9987137,0.00005958759,0.0009024437],"genre_scores_gemma":[0.0008635115,0.0003749097,0.0004251834,0.0001585358,0.00001998859,0.0001327572,0.9932439,0.0001251107,0.004656194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09176755,"threshold_uncertainty_score":0.4032258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575370761406461,"score_gpt":0.2201290629309752,"score_spread":0.1943753553169106,"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."}}