{"id":"W7071982526","doi":"","title":"Urban enigmas Montreal, Toronto, and the problem of comparing cities","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Population; Government (linguistics); Urban planning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01013336,0.0005530316,0.001070849,0.009455779,0.01256828,0.01324306,0.00349534,0.002794245,0.008603598],"category_scores_gemma":[0.03633048,0.0004685442,0.0005143086,0.022493,0.02090721,0.008243712,0.005801858,0.002287552,0.0002078902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05531075,"about_ca_system_score_gemma":0.03236795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8836513,"about_ca_topic_score_gemma":0.9537851,"domain_scores_codex":[0.9894214,0.006889425,0.0002691455,0.000950605,0.001366231,0.001103276],"domain_scores_gemma":[0.987169,0.006353266,0.001459363,0.001265361,0.002499648,0.001253398],"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":[0.0001010489,0.00001354281,0.01204755,0.0002654291,0.0001307346,0.000109117,0.01970165,0.001963038,0.00005760553,0.884657,0.03764943,0.04330384],"study_design_scores_gemma":[0.00006966955,0.00003880329,0.06695979,0.001316775,0.0002811995,0.0002215064,0.1301399,0.003060862,0.0002445359,0.481133,0.3163832,0.0001508079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2350744,0.08137576,0.01158413,0.249826,0.00220889,0.0001745428,0.006639086,0.0002447738,0.4128724],"genre_scores_gemma":[0.9769986,0.007550556,0.004490849,0.002801801,0.0003232085,0.00009822114,0.0006407737,0.00007310098,0.00702287],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1163487,"threshold_uncertainty_score":0.4013094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544548542785153,"score_gpt":0.2606633453819483,"score_spread":0.2452178599540968,"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."}}