{"id":"W4225679654","doi":"10.3138/9781487510183","title":"Streetcars and the Shifting Geographies of Toronto","year":2022,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic geography; Geography; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003849205,0.0001151751,0.0002878269,0.00001214624,0.0006128814,0.00002054756,0.0004906264,0.0001358289,0.001050306],"category_scores_gemma":[0.00002968302,0.0001194798,0.0001223512,0.000002467578,0.001006506,0.0001363446,0.000291344,0.0001148046,1.310853e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246989,"about_ca_system_score_gemma":0.0001815051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7064111,"about_ca_topic_score_gemma":0.4797721,"domain_scores_codex":[0.9989303,0.0002093888,0.0001357343,0.0001773228,0.0004045621,0.0001426706],"domain_scores_gemma":[0.9991224,0.0002028266,0.000330063,0.0001861465,0.0001013845,0.00005717842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002106654,0.00002067448,0.0004134196,0.000121322,0.0003557393,0.000006836367,0.3353928,0.00001048324,0.000004148483,0.6327561,0.02523137,0.0054765],"study_design_scores_gemma":[0.0004914809,0.00002437214,0.0002162041,0.00005266509,0.0001439068,1.729629e-7,0.01379218,0.00001178876,0.000001380522,0.0002565945,0.9848854,0.0001238411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002131523,0.007368973,0.000009131887,0.00002312998,0.0001108825,0.0002556345,0.00006183559,0.00003290282,0.9919243],"genre_scores_gemma":[0.005336027,0.00263297,0.00008646177,0.00002319512,0.00006195369,2.449792e-7,0.00001677015,0.00001116803,0.9918312],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.959654,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548797595832975,"score_gpt":0.2146346562126299,"score_spread":0.1991466802543001,"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."}}