{"id":"W4286546131","doi":"10.14236/ewic/pom2021.50","title":"Beyond Classification: The Machinic Sublime","year":2021,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sublime; Computer science; Human intelligence; Context (archaeology); Aesthetics; Sociology; Cognitive science; Artificial intelligence; Art; Psychology; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00333408,0.00009749596,0.0001441177,0.00004024215,0.001226343,0.0003741121,0.0004263329,0.000169786,0.0001365341],"category_scores_gemma":[0.001247882,0.0000877955,0.00007838415,0.0009853831,0.0002407943,0.0001633229,0.00009414489,0.001131957,0.00002233956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360853,"about_ca_system_score_gemma":0.001474936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003034941,"about_ca_topic_score_gemma":0.009045879,"domain_scores_codex":[0.9977277,0.0006254519,0.0002482988,0.0002551941,0.0003873438,0.0007559989],"domain_scores_gemma":[0.9981704,0.001235456,0.00009792309,0.0002474627,0.0001782439,0.00007053559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003391237,0.00004967413,0.002449898,0.000002938544,0.00001934616,0.000008163045,0.01688034,0.0002027252,0.00004087226,0.9312384,0.001307071,0.04779719],"study_design_scores_gemma":[0.0009957277,0.00006982172,0.04097376,0.0001876971,0.00004541994,0.00001108729,0.05257666,0.01213885,0.0001464845,0.6571795,0.2347931,0.0008819212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3732204,0.006936281,0.001520726,0.2222107,0.001311491,0.0003593799,9.934786e-7,0.0001948906,0.3942451],"genre_scores_gemma":[0.995192,0.0004360768,0.0001637393,0.002000018,0.0007225781,0.000002812663,0.000004584892,0.00001248562,0.00146573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6219715,"threshold_uncertainty_score":0.9432165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369332077600943,"score_gpt":0.364625878247664,"score_spread":0.3276926704875697,"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."}}