{"id":"W4248854674","doi":"10.7551/mitpress/9780262035064.003.0004","title":"Algorithm Machine","year":2017,"lang":"en","type":"book-chapter","venue":"The MIT Press eBooks","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cybernetics; Exhibition; Interactivity; Autonomy; Aesthetics; Narrative; Art; Computer science; Dimension (graph theory); Visual arts; Artificial intelligence; Multimedia; Literature; Mathematics","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":[0.0005753658,0.0009948451,0.000592116,0.001093434,0.001107745,0.004214235,0.001616094,0.00151799,0.07249057],"category_scores_gemma":[0.002498307,0.0003582052,0.0009280068,0.001113734,0.001640882,0.005399402,0.002159061,0.001584018,0.03829887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010609,"about_ca_system_score_gemma":0.001031215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155726,"about_ca_topic_score_gemma":0.001119327,"domain_scores_codex":[0.9990557,0.0001447634,0.00006604348,0.0003226399,0.0003281993,0.00008261665],"domain_scores_gemma":[0.9995081,0.0001410759,0.00002656552,0.0001725201,0.0001201248,0.00003163905],"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":[0.00007486761,0.00003649713,0.0003923287,0.0004743101,0.00003414127,0.0001226024,0.0003329187,0.00404432,0.002042818,0.5973672,0.09183879,0.3032392],"study_design_scores_gemma":[0.00001493117,0.00002747796,0.0002124852,0.0001218048,0.00001358584,0.0003375867,0.00008556319,0.008053678,0.001937278,0.1442955,0.84488,0.0000200083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004673597,0.009786437,0.4131479,0.004839836,0.003046873,0.000322156,0.001819399,0.006280331,0.5560835],"genre_scores_gemma":[0.1319763,0.01244189,0.3390696,0.003096941,0.001603681,0.0006971839,0.006759714,0.002229676,0.502125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07249057,"threshold_uncertainty_score":0.2425051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04721360325321572,"score_gpt":0.2335251811829704,"score_spread":0.1863115779297546,"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."}}