{"id":"W7015128487","doi":"","title":"Rigenerazione urbana delle aree militari e industriali/Urban regeneration of industrial and military sites","year":2011,"lang":"it","type":"other","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architectural design; Urbanism; Architecture","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":[0.0009249741,0.0002491221,0.0002533239,0.002171993,0.001916412,0.003562237,0.0005122672,0.0004302758,0.03825873],"category_scores_gemma":[0.000938344,0.0002616659,0.0003309548,0.002725636,0.001436945,0.000937592,0.003769226,0.0005970371,0.003796412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959406,"about_ca_system_score_gemma":0.003330888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629622,"about_ca_topic_score_gemma":0.09891993,"domain_scores_codex":[0.999072,0.0002598071,0.0000282615,0.0001075142,0.0002047137,0.0003277911],"domain_scores_gemma":[0.9993998,0.0001009108,0.000101743,0.00009409716,0.0001243597,0.0001790478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003338841,0.0002221923,0.1575986,0.001175966,0.00007728596,0.0006710466,0.01677843,0.00292604,0.003142696,0.2110435,0.09975917,0.5062711],"study_design_scores_gemma":[0.00002079848,0.00009339632,0.288139,0.0004371867,0.00002442183,0.0005601994,0.01646095,0.000765849,0.001264485,0.007997381,0.6841968,0.00003947317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3878237,0.008782464,0.008402858,0.008917646,0.0003286617,0.0003095546,0.00285779,0.0002331834,0.5823441],"genre_scores_gemma":[0.8186795,0.003533536,0.005533005,0.0004949384,0.0001845512,0.0001696403,0.00167807,0.0001337829,0.1695931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03825873,"threshold_uncertainty_score":0.1279882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764589342319969,"score_gpt":0.2222527540595877,"score_spread":0.184606860636388,"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."}}