{"id":"W2888811002","doi":"10.1177/0361198118790327","title":"Reducing Rural Car Ownership: Cultural Not Policy Changes?","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Car ownership; Quarter (Canadian coin); Census; Land tenure; Geography; Land use; Population; Sustainability; Socioeconomics; American Community Survey; Business; Agriculture; Demographic economics; Agricultural economics; Economic growth; Public transport; Demography; Economics; Political science","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":[0.002791846,0.0001285433,0.0001998206,0.0003951401,0.0009435266,0.002100779,0.0008947508,0.0006803371,0.003522858],"category_scores_gemma":[0.01246079,0.0001162063,0.0002069958,0.001167099,0.001949344,0.001876513,0.001062407,0.001250619,0.0002372656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393114,"about_ca_system_score_gemma":0.006500105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01750368,"about_ca_topic_score_gemma":0.03392473,"domain_scores_codex":[0.9981269,0.001101335,0.00004655334,0.0001213541,0.0002387013,0.000365211],"domain_scores_gemma":[0.9969141,0.0009032408,0.0006521448,0.0001400008,0.0006289859,0.000761423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001625979,0.00141495,0.3476275,0.001480064,0.000197623,0.001816363,0.06181168,0.00216374,0.002737153,0.06152403,0.03342641,0.4856378],"study_design_scores_gemma":[0.0000624788,0.0004492557,0.5599902,0.001873522,0.000144056,0.0007586532,0.2544259,0.001937631,0.001701581,0.02414837,0.1544477,0.000060688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68802,0.004739301,0.001896981,0.2611293,0.0005003998,0.0001024376,0.0002267115,0.00003594717,0.04334892],"genre_scores_gemma":[0.9872881,0.003422502,0.0006256423,0.007361512,0.0001046624,0.00004215712,0.00005009233,0.00000746023,0.001097965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01750368,"threshold_uncertainty_score":0.03480357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531214029626091,"score_gpt":0.4522610246748591,"score_spread":0.2991396217122501,"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."}}