{"id":"W2922089234","doi":"10.22215/etd/2014-10228","title":"Auto-Centric Dependency: How Transportation Affected North American Cities","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Latin American Urban Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Dependency (UML); Architectural engineering; Built environment; Engineering; Geography; Transport engineering; Civil engineering; Systems 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":[0.001105473,0.000201902,0.0002465841,0.0007406235,0.006901743,0.005221297,0.0007989336,0.0008638634,0.00493818],"category_scores_gemma":[0.00254337,0.0002151606,0.0003666205,0.002588988,0.005974069,0.003769303,0.005478391,0.001765541,0.000224858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.013065,"about_ca_system_score_gemma":0.003833104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1996955,"about_ca_topic_score_gemma":0.290123,"domain_scores_codex":[0.9987602,0.0006022383,0.00002787521,0.0001814588,0.0001124872,0.0003157312],"domain_scores_gemma":[0.9987618,0.0002418254,0.000303558,0.0001591053,0.0002848033,0.0002489059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001906334,0.0002441289,0.2791809,0.0002252199,0.0001157672,0.001446923,0.5352388,0.002405842,0.0007443526,0.1234233,0.01565759,0.04112651],"study_design_scores_gemma":[0.00002122739,0.00007215107,0.3308913,0.0002464336,0.00007984673,0.0002473493,0.514059,0.001076333,0.0004007698,0.01390584,0.1389192,0.0000805752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391555,0.0005302502,0.0004770302,0.006331933,0.000055395,0.00002280063,0.0001228964,0.00001650435,0.05328763],"genre_scores_gemma":[0.996702,0.0003344135,0.00008432625,0.0003366643,0.00001332189,0.00001438009,0.00004069825,0.00001227609,0.002461959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8003045,"threshold_uncertainty_score":0.3970662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009652633252240004,"score_gpt":0.2672882626118708,"score_spread":0.2576356293596307,"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."}}