{"id":"W4232254558","doi":"10.32920/ryerson.14653713","title":"Yonge and great: an assessment of Yonge as a great street","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Queen (butterfly)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000114414,0.0003090306,0.0006046838,0.0001637089,0.00002452599,0.00009647803,0.0001910476,0.0002554006,0.0009548065],"category_scores_gemma":[0.000007792232,0.0002852546,0.0001661305,0.0001279804,0.0000345142,0.00008744797,0.0002308701,0.0003240265,0.000002205977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006609711,"about_ca_system_score_gemma":0.00006170332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413762,"about_ca_topic_score_gemma":0.007683284,"domain_scores_codex":[0.9987605,0.00005340262,0.0003415516,0.0003900479,0.0002613089,0.0001931909],"domain_scores_gemma":[0.9991045,0.00002751288,0.00005700506,0.0005778684,0.00007921502,0.0001538888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005963597,0.001037584,0.6143578,0.008155963,0.01399391,0.001165312,0.004816424,0.1423888,0.01486447,0.007424838,0.009362797,0.1823725],"study_design_scores_gemma":[0.0009242863,0.0003424875,0.1388242,0.0004775164,0.001669142,0.00001765164,0.0006948765,0.8488182,0.004495733,0.0009243903,0.0009875227,0.001824027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382921,0.001327591,0.02291246,0.00004337132,0.0002498528,0.0002855125,0.00007223856,0.0002965351,0.03652037],"genre_scores_gemma":[0.9921196,0.000431053,0.005906776,0.00002207143,0.00007795309,0.00002887491,0.000172591,0.00003944583,0.001201631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7064294,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020253920652074,"score_gpt":0.2719719897926796,"score_spread":0.2517180691406056,"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."}}