{"id":"W1540221652","doi":"","title":"The Motorization of North America: causes, consequences, and speculations on possible futures","year":2001,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Population; Futures contract; Geography; Commercial vehicle; Business; Engineering; Demography; Finance; Automotive engineering; Sociology","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":[0.0008675796,0.0002941441,0.0002345619,0.001929697,0.001609274,0.002136842,0.0007139692,0.001470471,0.008983425],"category_scores_gemma":[0.002996082,0.0002567674,0.000358519,0.003147841,0.003456851,0.003457504,0.001291965,0.001390224,0.0003394691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955729,"about_ca_system_score_gemma":0.001931534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05459591,"about_ca_topic_score_gemma":0.08316199,"domain_scores_codex":[0.99962,0.00009606641,0.00001315733,0.00007469291,0.00004564388,0.0001505522],"domain_scores_gemma":[0.9985375,0.0003533124,0.000552794,0.00006681689,0.0002813976,0.0002081111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002094974,0.0001675906,0.7807025,0.0004745821,0.00009579644,0.004270469,0.00991382,0.002175752,0.0004411635,0.1025229,0.0275063,0.0715197],"study_design_scores_gemma":[0.00001876558,0.00007253065,0.8367342,0.0007390328,0.00007132463,0.001479679,0.05560331,0.002613607,0.000390986,0.06759698,0.03459531,0.00008427323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046075,0.03001677,0.001286505,0.1862075,0.0004931469,0.00005485803,0.001892459,0.00007265429,0.07536855],"genre_scores_gemma":[0.9834326,0.01287062,0.0002309472,0.0009114848,0.0002772977,0.00001519275,0.0002014,0.000008084754,0.002052412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9454041,"threshold_uncertainty_score":0.1085563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288109530844118,"score_gpt":0.2099484057134781,"score_spread":0.1970673104050369,"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."}}