{"id":"W6986723288","doi":"","title":"Processi economici in contesti di polarizzazione spaziale. Parkdale Sud a Toronto","year":2019,"lang":"it","type":"book-chapter","venue":"AirIuav (Università Iuav di Venezia)","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Work (physics); Context (archaeology); Capitalism","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006227787,0.0009543703,0.001098378,0.0002640425,0.0003958986,0.0001348294,0.001073059,0.00091455,0.007607471],"category_scores_gemma":[0.00005152734,0.001202537,0.0003719131,0.0001598029,0.0004815187,0.00163528,0.0006140598,0.0007603035,0.006401565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003185901,"about_ca_system_score_gemma":0.00034953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008990368,"about_ca_topic_score_gemma":0.006915553,"domain_scores_codex":[0.9957197,0.0001369459,0.0007037738,0.001687386,0.0007292241,0.001023014],"domain_scores_gemma":[0.9974527,0.0002394872,0.0007931807,0.00102611,0.00006833793,0.0004201588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001507275,0.001137686,0.8854573,0.0007291128,0.000923175,0.0009738419,0.009718901,0.0109061,0.004986938,0.03489891,0.01387083,0.03488986],"study_design_scores_gemma":[0.007123876,0.001657386,0.7258194,0.002396437,0.0009152096,0.0001012004,0.002730276,0.01661199,0.0001878098,0.001502921,0.2367967,0.004156804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4563287,0.002433554,0.0003698154,0.001459411,0.001732398,0.002292405,0.0005806334,0.0002416114,0.5345615],"genre_scores_gemma":[0.7964824,0.0004330197,0.00016603,0.0002256918,0.000234761,0.000006634893,0.0003710229,0.0001236097,0.2019568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3401537,"threshold_uncertainty_score":0.9990425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622994323062275,"score_gpt":0.219896747877946,"score_spread":0.1936668046473233,"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."}}