{"id":"W4234039435","doi":"10.4095/301000","title":"Mode of Transportation to Work, 2001: Travelled to Work in Car, Truck, Van as Driver (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Census; Subdivision; Transport engineering; Mode (computer interface); Work (physics); Engineering; Computer science; Automotive engineering; Civil engineering; Sociology; 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":[0.0003056731,0.00107827,0.0002732541,0.003911755,0.00137767,0.0009776093,0.001614157,0.0004914721,0.009737663],"category_scores_gemma":[0.0009823055,0.0004032412,0.0005733204,0.006144015,0.0001883887,0.0006592423,0.0007656041,0.0007439166,0.003933929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117868,"about_ca_system_score_gemma":0.0173019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9745398,"about_ca_topic_score_gemma":0.9881379,"domain_scores_codex":[0.9993989,0.00001296019,0.00004421967,0.00005182548,0.0003592444,0.0001328606],"domain_scores_gemma":[0.9987906,0.00001757343,0.000106604,0.00002103774,0.0009160623,0.0001481798],"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":[0.0002179328,0.0001806174,0.3381656,0.001090528,0.000109998,0.0002140589,0.001028582,0.0009085352,0.0008761462,0.0005474982,0.6081614,0.04849901],"study_design_scores_gemma":[0.00002679869,0.00003036099,0.8844799,0.0001893464,0.00004136232,0.0001503701,0.001138692,0.0002732763,0.0002683126,0.00003113136,0.1133416,0.0000287781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07536637,0.002126175,0.0003447454,0.0008678423,0.0001901793,0.0004726968,0.8758916,0.0002892514,0.04445108],"genre_scores_gemma":[0.1277405,0.007952833,0.001502495,0.0006151987,0.00008665121,0.0005997178,0.764779,0.0001069891,0.09661669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02546024,"threshold_uncertainty_score":0.08110744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581572252789407,"score_gpt":0.2436433252079877,"score_spread":0.2178276026800936,"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."}}