{"id":"W4241645998","doi":"10.4095/301005","title":"Mode of Transportation to Work, 2001: Passenger in Car, Truck or Van (by census division)","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; Division (mathematics); Transport engineering; Mode (computer interface); Work (physics); Geography; Engineering; Automotive engineering; Computer science; Sociology; Demography; Mathematics; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001598975,0.0004182773,0.0007424678,0.000274114,0.00001475012,0.000012685,0.0002238773,0.0007313407,0.0008141822],"category_scores_gemma":[0.00002824945,0.0003499963,0.0001461111,0.0004067589,0.00003683177,0.00005217728,0.00000402378,0.0007374243,0.00001870323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359447,"about_ca_system_score_gemma":0.000145426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008992937,"about_ca_topic_score_gemma":0.01195239,"domain_scores_codex":[0.9977273,0.000009427748,0.0009042777,0.0003484859,0.0005817955,0.0004286581],"domain_scores_gemma":[0.999123,0.00006812419,0.0000841806,0.0003623523,0.0001620775,0.0002002781],"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":[0.0002435204,0.0005451524,0.03908997,0.00335881,0.0005165639,0.0007025808,0.001287048,0.06439711,0.004984419,0.0004331516,0.852989,0.03145271],"study_design_scores_gemma":[0.001029859,0.000136976,0.0779657,0.0006539217,0.0002978739,0.000006575694,0.00005947403,0.001985796,0.002251237,0.0001130896,0.9136934,0.001806053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2507354,0.003529303,0.1934869,0.0002326549,0.01290834,0.004910419,0.01747129,0.002355852,0.5143698],"genre_scores_gemma":[0.9769663,0.001354285,0.005369464,0.00002163461,0.0001723626,0.00004908966,0.002270699,0.0001801638,0.01361599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7262309,"threshold_uncertainty_score":0.9998952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411026395612941,"score_gpt":0.2598978883032612,"score_spread":0.218795248741967,"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."}}