{"id":"W2296822916","doi":"","title":"The Sheppard Subway Line Toronto: Changes in Residential Land Use Intensity 2001 to 2011","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Subway station; Residential area; Pedestrian; Land use; Line (geometry); Transport engineering; Environmental science; Civil engineering; Engineering; Archaeology; Mathematics","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01796404,0.0004438439,0.0006225237,0.0007573434,0.002666962,0.000553465,0.001613902,0.0004604401,0.001605315],"category_scores_gemma":[0.00217507,0.0003220112,0.0002304146,0.002016596,0.00208115,0.002111345,0.00003160063,0.001263628,0.0002787723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008649658,"about_ca_system_score_gemma":0.001155555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3769635,"about_ca_topic_score_gemma":0.9730323,"domain_scores_codex":[0.9859619,0.002316981,0.001373849,0.001472295,0.005597362,0.003277677],"domain_scores_gemma":[0.9887825,0.003466495,0.000205626,0.0009487548,0.00524593,0.0013507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003946548,0.0003220931,0.9449962,0.00009146274,0.00006356723,0.0001625632,0.02036639,0.00003903352,0.002509044,0.002588518,0.01830503,0.006609506],"study_design_scores_gemma":[0.001236589,0.0004098254,0.8924497,0.0002586568,0.00001958871,6.685413e-8,0.009704581,0.000007845216,0.001415464,0.001166873,0.09289669,0.0004341228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651216,0.00026837,0.0002760208,0.02911453,0.000501782,0.002765825,0.0004977997,0.0002237079,0.001230356],"genre_scores_gemma":[0.9859815,0.002776487,0.0005386207,0.0001690466,0.000633135,0.0005784723,0.0001203184,0.00008009677,0.009122305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5960687,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09680037562127077,"score_gpt":0.4154210679872408,"score_spread":0.3186206923659701,"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."}}