{"id":"W4381786710","doi":"10.1080/20539320.2022.2143652","title":"Compression and Noise","year":2022,"lang":"en","type":"article","venue":"Journal of Aesthetics and Phenomenology","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Noise (video); Data compression; Artificial intelligence","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":[0.0001735386,0.00006169056,0.0001527505,0.00006625329,0.0003239022,0.00002782994,0.00009851542,0.00002646998,0.0004285383],"category_scores_gemma":[0.000003964697,0.00005085347,0.00003023187,0.00001562821,0.000357732,0.00002605445,0.0001512581,0.0002841902,6.890582e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000122456,"about_ca_system_score_gemma":0.00001261846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006707459,"about_ca_topic_score_gemma":0.000003605982,"domain_scores_codex":[0.9995276,0.00003325563,0.0001875308,0.00006731203,0.00008327528,0.0001010224],"domain_scores_gemma":[0.9996496,0.00002910933,0.0001695967,0.00006628815,0.00004795886,0.0000374076],"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":[0.00003734978,0.0001251117,0.0009441302,0.000008165444,0.0000469549,0.00002654702,0.02322166,0.0000152868,0.0002369847,0.9471804,0.003273833,0.0248835],"study_design_scores_gemma":[0.0005624636,0.001056582,0.0001976676,0.000004396681,0.00002995853,0.000408094,0.006951739,0.00007627009,0.000009655649,0.0912023,0.8994169,0.00008404321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840307,0.003621268,0.000009159046,0.003866756,0.0003659133,0.00003594111,0.000008329814,0.0000078247,0.008054103],"genre_scores_gemma":[0.9982486,0.000700803,0.0001658224,0.0003249408,0.00008456763,0.00000163101,7.268645e-7,0.000007062181,0.0004657995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.896143,"threshold_uncertainty_score":0.4692194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561481555968224,"score_gpt":0.2045386859632354,"score_spread":0.1889238704035532,"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."}}