{"id":"W4376108755","doi":"10.1080/07352166.2023.2195782","title":"<i>Streetcars and the shifting geographies of Toronto: A visual analysis of change</i> , by Brian Doucet and Michael Doucet <b> <i>Streetcars and the shifting geographies of Toronto: A visual analysis of change</i> </b> , by Brian Doucet and Michael Doucet, Toronto, Ontario, Canada, University of Toronto Press, 2022","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Affairs","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Political science; Economic geography; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002900742,0.0005305783,0.002396116,0.0001732814,0.0005519571,0.00009943963,0.0007851946,0.0002792511,0.00009989734],"category_scores_gemma":[0.0001911099,0.0004306187,0.0006919254,0.0009582391,0.00257144,0.001203727,0.0003784643,0.0003139575,2.095514e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958617,"about_ca_system_score_gemma":0.0002992898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968425,"about_ca_topic_score_gemma":0.9988962,"domain_scores_codex":[0.9950811,0.0006111407,0.001417223,0.0006090151,0.001555559,0.0007259558],"domain_scores_gemma":[0.994377,0.001013119,0.003326947,0.000441611,0.0004839883,0.0003573908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002676108,0.0002748921,0.7978669,0.0002944065,0.01181018,0.00002501304,0.1638407,0.00003852898,0.001396456,0.0007304767,0.01825528,0.002791052],"study_design_scores_gemma":[0.009033892,0.0009166317,0.7183374,0.0006722973,0.01658731,0.00001359153,0.2403943,0.001785242,0.0003069503,0.00003720972,0.01090176,0.001013414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455659,0.1513344,0.000005113199,0.0005476327,0.0001818278,0.0004537009,0.001180158,0.00001742766,0.0007138395],"genre_scores_gemma":[0.9572261,0.04220279,0.0000721016,0.00006535835,0.0001449712,0.000004636953,0.00004669444,0.00002930385,0.0002080282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116602,"threshold_uncertainty_score":0.9998146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290064745159239,"score_gpt":0.2364187479231388,"score_spread":0.2235181004715464,"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."}}