{"id":"W1987443138","doi":"","title":"CARSHARING’S IMPACT ON HOUSEHOLD VEHICLE HOLDINGS: RESULTS FROM A NORTH AMERICAN SHARED-USE VEHICLE SURVEY","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":18,"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; Car ownership; Vehicle miles of travel; Business; Sample (material); Population; Transport engineering; Geography; Agricultural economics; Economics; Public transport; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001517341,0.0004296914,0.0003500598,0.0002309795,0.0001283376,0.001499199,0.0004948816,0.0001356763,0.0001383599],"category_scores_gemma":[0.0004486047,0.0004095708,0.0001680223,0.001415215,0.0001185891,0.003502051,0.00005252246,0.001095156,0.0006568077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004985908,"about_ca_system_score_gemma":0.00007602829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003900377,"about_ca_topic_score_gemma":0.0007941081,"domain_scores_codex":[0.9978356,0.0000367791,0.0006589241,0.0005513091,0.0003708087,0.0005466127],"domain_scores_gemma":[0.9981607,0.0004161671,0.0001241479,0.0007970424,0.00007871276,0.0004232622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002337675,0.0001571359,0.9900142,0.00000806363,0.00008208593,0.00001768724,0.00007111664,0.002074024,0.001184085,0.00006817643,0.003622336,0.002467338],"study_design_scores_gemma":[0.0007299717,0.00007218112,0.9856825,0.0000255972,0.00001222787,9.923026e-7,0.00001051753,0.0008486795,0.001978901,0.00008028002,0.01008357,0.0004745396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928492,0.000008296837,0.00002274511,0.0000940735,0.000195034,0.0002403508,0.1043737,0.001409671,0.0008069886],"genre_scores_gemma":[0.9852851,0.000008181058,0.0002958126,0.0003610344,0.0001205139,0.00002519916,0.01366168,0.0001614522,0.0000809961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09243595,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321066714429414,"score_gpt":0.2201666759842593,"score_spread":0.1969560088399652,"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."}}