{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165419,0.000262804,0.0002328522,0.00113243,0.0008810359,0.0008046446,0.0005532219,0.000291367,0.002098183],"category_scores_gemma":[0.001016719,0.0001895287,0.0002759321,0.002876368,0.0004223231,0.0003925081,0.0006157066,0.000370358,0.0002736935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01492316,"about_ca_system_score_gemma":0.005683031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971289,"about_ca_topic_score_gemma":0.9914184,"domain_scores_codex":[0.999681,0.0000257147,0.00001619368,0.00006483062,0.0001337365,0.00007857817],"domain_scores_gemma":[0.9989529,0.00005812054,0.0002735511,0.00003568417,0.0004807732,0.0001990599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222711,0.00002894398,0.9807212,0.00008103756,0.0000863881,0.0001910412,0.003772687,0.0007476367,0.0009683644,0.0001850646,0.003588735,0.009506539],"study_design_scores_gemma":[9.004708e-7,0.000007271669,0.9979624,0.000006826021,0.000005194157,0.00001429401,0.0008764187,0.0001099109,0.00005804879,0.000002994233,0.0009524888,0.000003366587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922746,0.0002483426,0.0001089486,0.000144794,0.00000741484,0.00001431761,0.005027181,0.00001267051,0.002161743],"genre_scores_gemma":[0.9925291,0.0003147546,0.0001617268,0.00002793199,0.000006004164,0.00002077274,0.003531331,0.000004621051,0.003403728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02871102,"threshold_uncertainty_score":0.1082757,"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."}}