{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002444373,0.001033685,0.0002419291,0.003499838,0.001332154,0.0009087904,0.001244946,0.0004316035,0.01305603],"category_scores_gemma":[0.0009892394,0.0003697338,0.0004937704,0.005631862,0.000187789,0.0006711115,0.0006185584,0.0006978977,0.004784093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009756855,"about_ca_system_score_gemma":0.01624856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.973177,"about_ca_topic_score_gemma":0.9875042,"domain_scores_codex":[0.9994884,0.00000930807,0.00003704467,0.00004461853,0.0002974068,0.0001232439],"domain_scores_gemma":[0.9989678,0.00001511885,0.00009410834,0.00001595368,0.0007785152,0.0001285985],"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":[0.0001416231,0.0001492509,0.1853338,0.0008576714,0.00007707876,0.0001390429,0.0006596647,0.0006183157,0.0007619555,0.0004573227,0.7669104,0.04389381],"study_design_scores_gemma":[0.00003315264,0.00003146594,0.8375473,0.0002059007,0.00004141764,0.0001312386,0.001068288,0.0002706421,0.000289407,0.00003949869,0.1603116,0.00003014181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05158185,0.001670783,0.0002912945,0.0008838152,0.0002129675,0.0005315312,0.8931316,0.0002761853,0.05141994],"genre_scores_gemma":[0.1172195,0.009121886,0.001654612,0.0008392546,0.0001156691,0.0007469075,0.760596,0.0001071994,0.1095989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973177,"threshold_uncertainty_score":0.07079124,"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."}}