{"id":"W3117749396","doi":"10.16995/olh.454","title":"The Problem with Steel: Garth Evans’ Placement with the British Steel Corporation (1968–71)","year":2020,"lang":"en","type":"article","venue":"Open Library of Humanities","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sculpture; Corporation; Context (archaeology); Government (linguistics); SAINT; Factory (object-oriented programming); Politics; Visual arts; Government Office; Management; Art; History; Art history; Law; Archaeology; Political science; Local government; Economics","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":[0.0009251495,0.0003070778,0.0001724462,0.0009683195,0.02744964,0.004453768,0.0006158899,0.001801193,0.00908129],"category_scores_gemma":[0.001831888,0.0004408535,0.00009358593,0.001313786,0.009681278,0.001779494,0.002642297,0.003159147,0.001242168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367209,"about_ca_system_score_gemma":0.006114346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4629146,"about_ca_topic_score_gemma":0.7836957,"domain_scores_codex":[0.9985618,0.0004461972,0.00001884464,0.0001218956,0.0003776843,0.0004735488],"domain_scores_gemma":[0.9991804,0.000199211,0.00008729969,0.00002384991,0.0001641041,0.0003451012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006426575,0.00003834658,0.004759196,0.00006259744,0.000005471634,0.002196723,0.8131735,0.00006858206,0.001339976,0.02885623,0.115753,0.03368216],"study_design_scores_gemma":[0.000002483289,0.00004056697,0.01217386,0.0001117989,0.000004385572,0.0005952087,0.3699144,0.00002356005,0.0004634747,0.0008153528,0.6158273,0.00002754223],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6786755,0.009273093,0.0005466862,0.06166059,0.001075356,0.00003178116,0.0001161432,0.00006164677,0.2485592],"genre_scores_gemma":[0.7802365,0.003578678,0.0003599617,0.005011586,0.0001048522,0.00001742021,0.00004262424,0.000077793,0.2105706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4629146,"threshold_uncertainty_score":0.9204404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06533975897472051,"score_gpt":0.2420056139498235,"score_spread":0.176665854975103,"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."}}