{"id":"W4378439604","doi":"10.1515/9780773587557-026","title":"The Montreal Megacity by Numbers: Performance versus Promise","year":2012,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Megacity; Environmental science; Business; Economics; Economy","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":[0.0009986249,0.0006717168,0.0003559205,0.0007668501,0.003690149,0.01011431,0.001382419,0.001648222,0.03822994],"category_scores_gemma":[0.0031121,0.0003525334,0.0002187842,0.002635488,0.007418967,0.005065062,0.002003401,0.002543309,0.002892555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02821582,"about_ca_system_score_gemma":0.02600382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7747024,"about_ca_topic_score_gemma":0.9056942,"domain_scores_codex":[0.9991961,0.0002219364,0.000009110428,0.00009049876,0.0002304461,0.0002519015],"domain_scores_gemma":[0.9992357,0.0001540399,0.00004535718,0.00007222003,0.0001846343,0.0003079856],"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":[0.00001989832,0.000009437656,0.0005440192,0.00003359445,0.000004692564,0.00002343873,0.0008149808,0.0005118836,0.00006279623,0.7474711,0.2157403,0.03476382],"study_design_scores_gemma":[0.00001119098,0.00001480909,0.002099589,0.00009379798,0.000005942955,0.00001371497,0.001706805,0.0004071817,0.0001005929,0.05363328,0.9418927,0.00002040337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005491736,0.01121866,0.001272895,0.06270352,0.0009357545,0.00002243144,0.0002772189,0.00009763565,0.9179803],"genre_scores_gemma":[0.2603612,0.01487669,0.001758648,0.005606794,0.001258476,0.00006904962,0.0001780804,0.0002421023,0.715649],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2252976,"threshold_uncertainty_score":0.4532487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264793328965751,"score_gpt":0.2231322691573463,"score_spread":0.2004843358676888,"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."}}