{"id":"W4385922977","doi":"10.32920/23982351.v1","title":"Industrial Wasteland: Revitalization Transcribed","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Cultural Influences","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demise; Environmental planning; Geography; Brownfield; Civil engineering; Environmental protection; Natural (archaeology); Political science; Engineering; Redevelopment; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008897983,0.0001842239,0.000220313,0.00006448186,0.0001723787,0.0002766949,0.0002011729,0.0001554423,0.003704571],"category_scores_gemma":[0.00001921045,0.0001194711,0.000140827,0.00002056305,0.00009456214,0.00007094486,0.0001008385,0.0003507555,0.0002876993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001184496,"about_ca_system_score_gemma":0.00003356818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007657806,"about_ca_topic_score_gemma":0.002806636,"domain_scores_codex":[0.9991229,0.00003971578,0.0002582891,0.0002522987,0.0001744725,0.0001522842],"domain_scores_gemma":[0.9996268,0.00002595235,0.00008071369,0.0001660568,0.00006130504,0.00003918387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007073119,0.00005614145,0.0001733835,0.000363244,0.0003753437,0.00002057696,0.1699513,0.001037919,0.00006731852,0.3422356,0.4658327,0.01981566],"study_design_scores_gemma":[0.0002734028,0.00006376346,0.00002629893,0.0003221402,0.0001109745,0.000001131244,0.004685364,0.00007947953,0.0001065225,0.04335042,0.9504944,0.0004860858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1523709,0.00101386,0.0005808084,0.01503682,0.01635735,0.002250404,0.0006448022,0.002922722,0.8088223],"genre_scores_gemma":[0.7779839,0.0001312136,0.00005712808,0.001068941,0.007016335,0.0001032706,0.001044458,0.00005456168,0.2125402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.625613,"threshold_uncertainty_score":0.9972062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.254643196668659,"score_gpt":0.2780649063792637,"score_spread":0.0234217097106047,"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."}}