{"id":"W2234307275","doi":"","title":"David Rokeby: silicon remembers carbon","year":2007,"lang":"pl","type":"article","venue":"WestminsterResearch (University of Westminster)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; The arts; Obsolescence; Visual arts; Work (physics); Sociology; Media studies; Art; Engineering","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002375589,0.0007279291,0.001004984,0.001226429,0.001253093,0.0007122169,0.00193641,0.0004421713,0.004723347],"category_scores_gemma":[0.000105242,0.0008935921,0.0006169918,0.0003948801,0.002859212,0.001957983,0.001061719,0.001265389,0.000495042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472448,"about_ca_system_score_gemma":0.0004375954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008368567,"about_ca_topic_score_gemma":0.03582272,"domain_scores_codex":[0.9941196,0.0002611352,0.00082803,0.001077028,0.001806004,0.001908186],"domain_scores_gemma":[0.9961215,0.0005111315,0.0005333204,0.00126385,0.0006865645,0.0008836194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006430425,0.005254292,0.04071062,0.004695479,0.002324192,0.006657538,0.4389631,0.00002799943,0.003214476,0.2311142,0.0220164,0.2385912],"study_design_scores_gemma":[0.003959805,0.002693963,0.02528085,0.00136641,0.0003397756,0.00006057937,0.1965133,0.0004782721,0.0003741824,0.0006895374,0.7664486,0.00179471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5906983,0.0005772503,0.00001445088,0.0004376597,0.0008504298,0.0005469167,0.0001918015,0.00009612752,0.4065871],"genre_scores_gemma":[0.8742067,0.0002449767,0.00005136271,0.0001561829,0.0006200417,6.487227e-7,0.0001082157,0.00008721901,0.1245247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7444322,"threshold_uncertainty_score":0.9998544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05781778963511384,"score_gpt":0.2514378210288754,"score_spread":0.1936200313937616,"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."}}