{"id":"W6950723707","doi":"10.5683/sp3/b69du4","title":"Travel Survey of Residents of Canada, 2016: Person File, October","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Tourism; Destinations; Travel survey; Accommodation; Travel behavior; Domestic tourism; Survey data collection; Visitor pattern","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":[0.0009966547,0.001087934,0.001068959,0.004256606,0.002528861,0.002158376,0.002009107,0.0005827525,0.04191639],"category_scores_gemma":[0.006164676,0.0007558747,0.0008170576,0.02109709,0.0003163431,0.00112727,0.001079357,0.001224738,0.01747032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02315798,"about_ca_system_score_gemma":0.04523322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857041,"about_ca_topic_score_gemma":0.9891122,"domain_scores_codex":[0.9983686,0.00007313293,0.0001855484,0.0002337477,0.0007260756,0.0004129061],"domain_scores_gemma":[0.9929516,0.0001664645,0.0004233277,0.0002332605,0.005650476,0.0005749169],"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":[0.0001060902,0.00004515919,0.02938879,0.0004480086,0.00003854041,0.00003994054,0.0001626546,0.0002051763,0.0000339353,0.0003065923,0.9624971,0.006727975],"study_design_scores_gemma":[0.0002265822,0.00004701283,0.6535558,0.0008230262,0.00007838047,0.00009012491,0.001525775,0.0008083276,0.0002628626,0.0002709533,0.3422389,0.0000721337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00132,0.00007427445,0.00003191803,0.00007695667,0.00002095664,0.00006948545,0.9954378,0.00004287702,0.002925724],"genre_scores_gemma":[0.01092998,0.0005085521,0.0004379849,0.0001771918,0.00002627803,0.0004587032,0.9777303,0.00005505342,0.009676026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04191639,"threshold_uncertainty_score":0.1680237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02075517808526375,"score_gpt":0.2116157981873111,"score_spread":0.1908606201020474,"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."}}