{"id":"W4391596242","doi":"10.32920/25167491.v1","title":"Complete Communities in the Suburbs: Evaluating Transit-Oriented Development Potential North of Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; University of Victoria","funders":"Government of Ontario","keywords":"Typology; Cohesion (chemistry); Context (archaeology); Transit-oriented development; Development (topology); Regional science; Public transport; Transit (satellite); Private sector; Transport engineering; Geography; Engineering; Economic growth; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001670743,0.0003513095,0.0001937035,0.00187437,0.00276668,0.001820801,0.0004918369,0.0002955657,0.002809738],"category_scores_gemma":[0.005497884,0.0001745981,0.0003204067,0.002666223,0.001427741,0.0009306503,0.001787526,0.0002839922,0.0001673882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02855432,"about_ca_system_score_gemma":0.01624551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9060444,"about_ca_topic_score_gemma":0.9770485,"domain_scores_codex":[0.9986787,0.0004421168,0.00007032937,0.00009213445,0.0004320228,0.0002846067],"domain_scores_gemma":[0.994216,0.001025835,0.0006599164,0.0002129185,0.00248786,0.001397462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006409879,0.0003053888,0.8454972,0.0003842366,0.0001666926,0.000857185,0.07832602,0.01056788,0.001451462,0.00711035,0.003786374,0.05090624],"study_design_scores_gemma":[0.00002313306,0.0003402658,0.8637394,0.0001128564,0.00005598194,0.00004407797,0.1235778,0.005118054,0.0005223973,0.0005186087,0.005919966,0.00002738226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919109,0.00009414402,0.0001978366,0.00009175266,0.000003381231,0.0001197351,0.0003440568,0.000004978803,0.007233178],"genre_scores_gemma":[0.9977742,0.00007763664,0.0004557901,0.000005734049,8.878719e-7,0.00005431979,0.0002764164,0.000002231782,0.001352851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09395564,"threshold_uncertainty_score":0.207177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08578700948699422,"score_gpt":0.3535042646893559,"score_spread":0.2677172552023617,"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."}}