{"id":"W4236191521","doi":"10.4095/300998","title":"Mode of Transportation to Work, 2001: Walked or Bicycled (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Mode (computer interface); Work (physics); Geography; Transport engineering; Engineering; Computer science; Sociology; Archaeology; Demography; Human–computer interaction; Mechanical engineering","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":[0.0002348911,0.0008195481,0.0002430034,0.003275926,0.001456123,0.0008639103,0.001302788,0.000400855,0.0105766],"category_scores_gemma":[0.001060467,0.0003480996,0.0005164135,0.006183242,0.000191692,0.0005500147,0.0006956324,0.0006692169,0.003183367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022191,"about_ca_system_score_gemma":0.01597416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982385,"about_ca_topic_score_gemma":0.9913283,"domain_scores_codex":[0.9994888,0.00001278114,0.00003744545,0.00004531549,0.000293017,0.0001226899],"domain_scores_gemma":[0.9990419,0.00001474109,0.0001036567,0.00001882992,0.0006867338,0.0001342057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001857889,0.0001443166,0.3472714,0.0009723268,0.0001145237,0.0001910264,0.001173818,0.0007194759,0.0008609665,0.0006834369,0.5978482,0.04983473],"study_design_scores_gemma":[0.00002330318,0.00002201327,0.9190947,0.0001525643,0.00003507424,0.0001073512,0.0009868715,0.0002304448,0.0001863697,0.00003321076,0.07910696,0.000021061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1006043,0.002246946,0.00033484,0.0008905721,0.0001958215,0.0004765998,0.8471631,0.0002937924,0.04779401],"genre_scores_gemma":[0.2566178,0.008899675,0.001810585,0.0007521299,0.00009961873,0.0007886314,0.6413214,0.0001073558,0.0896029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01761502,"threshold_uncertainty_score":0.07416552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607399323579391,"score_gpt":0.3739809151423407,"score_spread":0.3179069219065467,"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."}}