{"id":"W3198567960","doi":"10.32920/ryerson.14657544.v1","title":"A concept plan for Kennedy Mobility Hub: envisioning transit oriented development in Toronto's inner suburbs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University","funders":"","keywords":"Transit-oriented development; Plan (archaeology); Transport engineering; Pedestrian; Retrofitting; Transit (satellite); Context (archaeology); Urban planning; Environmental planning; Land use; Business; Bus rapid transit; Public transport; Development plan; Architectural engineering; Civil engineering; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000973712,0.0004449651,0.0007330172,0.0001415465,0.00007282582,0.000136803,0.0004094765,0.0005089089,0.0007607276],"category_scores_gemma":[0.0001335796,0.0004576065,0.0001525596,0.0001601553,0.00003693056,0.0001239245,0.0002926865,0.0006524615,0.000009202131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002112138,"about_ca_system_score_gemma":0.0003308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003017485,"about_ca_topic_score_gemma":0.01696088,"domain_scores_codex":[0.9970065,0.0001272619,0.0008833309,0.0007912483,0.0004931884,0.0006984856],"domain_scores_gemma":[0.9986354,0.0002826331,0.000050603,0.0006985855,0.0001699875,0.0001628486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006439809,0.001602227,0.04812801,0.0196952,0.0033942,0.0005777493,0.1339218,0.6519281,0.01938675,0.001436192,0.01074849,0.1085372],"study_design_scores_gemma":[0.009952146,0.0002823633,0.1117596,0.007952951,0.0001141758,0.00006396606,0.02130815,0.4987198,0.1299273,0.0001056123,0.2128938,0.006920125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8550216,0.002755864,0.1307732,0.00003394854,0.001971939,0.002963404,0.00006296999,0.0006092181,0.00580784],"genre_scores_gemma":[0.9878249,0.00003037795,0.009723738,0.00001260452,0.0001456343,0.001187303,0.0004802127,0.00009448577,0.0005007279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021454,"threshold_uncertainty_score":0.9997876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548804329345656,"score_gpt":0.2823895137338596,"score_spread":0.256901470440403,"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."}}