{"id":"W3121705972","doi":"","title":"Impact of Carsharing on Household Vehicle Holdings: Resultsvfrom a North American Shared-Use Vehicle Survey","year":2010,"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":"San José State University; Arizona State University; California Department of Transportation; University of California, Davis; U.S. Department of Transportation","keywords":"Metropolitan area; Geography; Sample (material); Population; Business; Agricultural economics; Transport engineering; Economics; Engineering; Demography","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":[0.001229355,0.000251816,0.000202366,0.001035152,0.0005308522,0.0006646002,0.0003619097,0.0002996741,0.002448282],"category_scores_gemma":[0.00143816,0.0002587457,0.0006577232,0.001503329,0.0003439072,0.0005675902,0.0008350871,0.0004068251,0.0005966497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006606788,"about_ca_system_score_gemma":0.0005382549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08241052,"about_ca_topic_score_gemma":0.1723991,"domain_scores_codex":[0.9990317,0.0003372275,0.00005966582,0.0001318049,0.0002829384,0.0001566881],"domain_scores_gemma":[0.9976231,0.00061199,0.0006656673,0.0001831313,0.0006628408,0.0002531873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004229268,0.0001448372,0.995445,0.00001511804,0.00005423336,0.00003221615,0.0004948177,0.00009451225,0.0001288262,0.00001547288,0.0004378418,0.003094795],"study_design_scores_gemma":[9.140582e-7,0.00005134742,0.9981451,0.000003714143,0.00001309766,0.00001487231,0.001292945,0.0001008877,0.00008507562,0.000004435224,0.0002849577,0.000002577439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976251,0.00004343048,0.00005777235,0.00003334904,0.000002733869,0.00001604129,0.001230876,0.000004091596,0.0009866114],"genre_scores_gemma":[0.9954774,0.0001190246,0.000112291,0.00004323267,0.000005412694,0.00003375371,0.00253965,0.000003843706,0.001665387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08241052,"threshold_uncertainty_score":0.1638617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294949527096459,"score_gpt":0.2395879345015998,"score_spread":0.2066384392306352,"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."}}