{"id":"W2047618746","doi":"10.1177/027046760002000502","title":"The Car and the City","year":2000,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dominance (genetics); Traffic congestion; Transport engineering; Fragility; Computer science; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003623983,0.0003186848,0.0003296872,0.00106336,0.005881409,0.008444997,0.0005609845,0.001914177,0.0418758],"category_scores_gemma":[0.0009409519,0.0001760528,0.0002291256,0.001923005,0.005585185,0.00330195,0.0037358,0.002550554,0.004192048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005279684,"about_ca_system_score_gemma":0.004938159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07902335,"about_ca_topic_score_gemma":0.1167088,"domain_scores_codex":[0.9995354,0.0001439491,0.000007569691,0.00006781737,0.00009447556,0.0001507169],"domain_scores_gemma":[0.999671,0.00005119178,0.0000293224,0.00002954886,0.0000968989,0.000122058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003124318,0.00003152617,0.003075827,0.00007094741,0.00001504611,0.0001682335,0.004034038,0.0002620684,0.000064259,0.8289929,0.1155007,0.04775329],"study_design_scores_gemma":[0.000006157701,0.00001354671,0.00304907,0.0001434811,0.000008558397,0.0001545178,0.006776719,0.00009292627,0.00003055078,0.05181073,0.937899,0.00001481618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02694499,0.05886363,0.0008479239,0.08593073,0.00251924,0.00001982774,0.0004518275,0.00006859906,0.8243532],"genre_scores_gemma":[0.6864237,0.0483329,0.0005763128,0.01226235,0.001486012,0.00004096383,0.0004156346,0.00006210641,0.2504001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07902335,"threshold_uncertainty_score":0.1571268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006385820326747271,"score_gpt":0.2451138213067356,"score_spread":0.2387280009799884,"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."}}