{"id":"W4231248194","doi":"10.32920/ryerson.14645190","title":"Indeterminacy and Discovery: Industrial Re-Use in Detroit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gentrification; Indeterminacy (philosophy); Capital (architecture); Displacement (psychology); Indeterminate; Space (punctuation); Reuse; Economics; Economic geography; Psychic; Sociology; Geography; Economic growth; Epistemology; Engineering; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066959,0.0001419248,0.0001514442,0.0007619017,0.00474574,0.003136085,0.000746301,0.0006977086,0.005480301],"category_scores_gemma":[0.001124832,0.000131144,0.000198764,0.001391497,0.004838535,0.001722019,0.003231563,0.0007173848,0.0003815472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004860295,"about_ca_system_score_gemma":0.002284436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05946445,"about_ca_topic_score_gemma":0.2343376,"domain_scores_codex":[0.9994044,0.0002701136,0.00001541122,0.0000687581,0.0001149873,0.0001263763],"domain_scores_gemma":[0.9993299,0.0002909687,0.00005634185,0.0001128532,0.00006804822,0.000141895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000577672,0.0004274222,0.1117274,0.0002546429,0.00007491546,0.01728941,0.4071177,0.001942363,0.005189129,0.1926601,0.01392539,0.2488138],"study_design_scores_gemma":[0.0000572934,0.0003395064,0.1557831,0.0003012542,0.00004493739,0.00309327,0.3271626,0.00592593,0.003971055,0.0378489,0.4654032,0.00006906938],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227466,0.0004139628,0.0008155674,0.002383979,0.00001903657,0.0000264515,0.00004125117,0.00002249243,0.0735307],"genre_scores_gemma":[0.9787109,0.0002205184,0.0007356256,0.0001319359,0.000007301874,0.00001302003,0.00004008806,0.00001753714,0.02012286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05946445,"threshold_uncertainty_score":0.1182367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2679977192806358,"score_gpt":0.262216699342341,"score_spread":0.005781019938294718,"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."}}