{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002211243,0.0005874112,0.0009956921,0.0004657653,0.0000248415,0.00002075215,0.0003564639,0.0008965445,0.0009460288],"category_scores_gemma":[0.00003434165,0.0005776818,0.0002340712,0.0008588036,0.0000446328,0.00005188529,0.000006911806,0.0008702374,0.00008872779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211834,"about_ca_system_score_gemma":0.0001676209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386017,"about_ca_topic_score_gemma":0.005734413,"domain_scores_codex":[0.9969054,0.00001543248,0.001121668,0.0005397862,0.000804302,0.0006134443],"domain_scores_gemma":[0.99871,0.00007026391,0.00009661203,0.0004813808,0.0002204294,0.0004212685],"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":[0.0008795092,0.0007211274,0.0414071,0.001821516,0.000770913,0.0007791432,0.006419524,0.1218003,0.005275835,0.00117528,0.7878596,0.03109019],"study_design_scores_gemma":[0.002054149,0.000288381,0.1705915,0.001395609,0.0005772497,0.000009288854,0.0001659019,0.000864549,0.00551938,0.0002403553,0.8148319,0.00346177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5819518,0.001460449,0.1125789,0.00017318,0.006714392,0.004585019,0.004252342,0.001175709,0.2871082],"genre_scores_gemma":[0.9736196,0.0007000045,0.007070537,0.00005674991,0.0001981924,0.00006849987,0.00177838,0.0002115621,0.01629648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916678,"threshold_uncertainty_score":0.9999672,"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."}}