{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946203,0.0004091858,0.000198281,0.001480519,0.009185649,0.00819988,0.001146474,0.00132263,0.02555907],"category_scores_gemma":[0.001985674,0.0001781092,0.0003249881,0.002567184,0.007526136,0.003256739,0.007086961,0.002476228,0.002981403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007475912,"about_ca_system_score_gemma":0.006533843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279336,"about_ca_topic_score_gemma":0.04034754,"domain_scores_codex":[0.9984849,0.0006456999,0.00004371109,0.0001367842,0.0003448847,0.0003441303],"domain_scores_gemma":[0.9993501,0.0001604479,0.00005333146,0.0001442029,0.0001315225,0.0001602884],"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":[0.00007059371,0.0003678179,0.004843353,0.0003910961,0.0000100738,0.001592779,0.2425674,0.0002852188,0.001073696,0.4421216,0.07597066,0.2307057],"study_design_scores_gemma":[0.000003950852,0.00003510503,0.003167606,0.0003492422,0.00000291637,0.000267687,0.142627,0.00008882509,0.0007089473,0.008819249,0.8439213,0.000008130098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1895025,0.006997088,0.002236214,0.02255733,0.001079965,0.0001070094,0.0001710337,0.0001257533,0.7772231],"genre_scores_gemma":[0.7170117,0.006881775,0.001539862,0.002246035,0.0001887414,0.00007663787,0.0002003283,0.0001571596,0.2716978],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02555907,"threshold_uncertainty_score":0.08550358,"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."}}