{"id":"W6912774153","doi":"10.5683/sp3/jmyfo4","title":"Canadian Travel Survey, 2000: Person Level Data","year":2000,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Microdata (statistics); Tourism; Commission; Accommodation; Survey data collection; Data source; Data collection; Travel survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536407,0.001772647,0.001477216,0.007889204,0.001922395,0.002802826,0.003347381,0.0006929883,0.0249946],"category_scores_gemma":[0.009049378,0.0007768373,0.0008517859,0.02924174,0.0003700169,0.001030478,0.001142034,0.00171335,0.02020759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02780777,"about_ca_system_score_gemma":0.03822311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819899,"about_ca_topic_score_gemma":0.9832018,"domain_scores_codex":[0.9970642,0.0001693283,0.0002883752,0.0004309644,0.00157429,0.0004729473],"domain_scores_gemma":[0.9901244,0.0002699457,0.0003906738,0.000443825,0.008256955,0.0005142257],"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":[0.00005902201,0.00002413839,0.005340027,0.0002918737,0.00003756103,0.00002165539,0.00006691279,0.0003018363,0.00003104774,0.000638105,0.9888563,0.004331531],"study_design_scores_gemma":[0.0001187332,0.00001757056,0.1361767,0.0003463537,0.00006930705,0.00006338701,0.0004395722,0.001034025,0.0002549972,0.0004914763,0.8609018,0.00008613492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003117071,0.00005283345,0.00004607582,0.00004843062,0.00001178893,0.00002965118,0.9982581,0.0000483738,0.001193085],"genre_scores_gemma":[0.00139897,0.0001185696,0.000316798,0.00003893507,0.000004843406,0.0001051933,0.9963911,0.00002348501,0.00160212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02780777,"threshold_uncertainty_score":0.2017605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598803349388707,"score_gpt":0.3099286182074246,"score_spread":0.1500482832685539,"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."}}