{"id":"W6931843326","doi":"10.5683/sp3/5adcp3","title":"Travel Survey of Residents of Canada, 2008: Person File, March","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Accommodation; Tourism; Destinations; Payment; Travel survey; Travel behavior; Kilometer; Survey data collection","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":[0.0007931409,0.0008282216,0.0008303049,0.003738592,0.002017254,0.001556803,0.001962923,0.0005061783,0.03111625],"category_scores_gemma":[0.004634775,0.000710056,0.0006143847,0.01692623,0.0002558859,0.0008707598,0.0007419541,0.001083342,0.012077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02459883,"about_ca_system_score_gemma":0.03926439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895319,"about_ca_topic_score_gemma":0.9930341,"domain_scores_codex":[0.998897,0.00005479546,0.000118352,0.000171157,0.0004839167,0.000274729],"domain_scores_gemma":[0.9944119,0.0001320885,0.0003385922,0.0001679664,0.004565775,0.0003837305],"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":[0.00009619852,0.0000484708,0.043504,0.00039983,0.00004041988,0.00004078012,0.0001943384,0.0002660667,0.00004348417,0.0003308302,0.9472853,0.007750252],"study_design_scores_gemma":[0.0001427099,0.0000338119,0.78082,0.0005055157,0.000062812,0.00007208288,0.001150509,0.0007192563,0.0001681457,0.0001525463,0.2161252,0.0000475725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002339482,0.00009038496,0.00004069387,0.00009373861,0.0000162201,0.00007327692,0.9935107,0.00004678867,0.0037888],"genre_scores_gemma":[0.01899106,0.0006005705,0.0007265515,0.0002442053,0.00002077975,0.0005512119,0.9657886,0.00005410467,0.01302287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03111625,"threshold_uncertainty_score":0.1784778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535513594710074,"score_gpt":0.2896047710395077,"score_spread":0.244249635092407,"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."}}