{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024582,0.0014501,0.001093216,0.00299995,0.002320289,0.01050598,0.002062499,0.004592392,0.03163672],"category_scores_gemma":[0.01612042,0.000499287,0.0008254093,0.00326115,0.008478618,0.009549689,0.005744255,0.003289768,0.01303905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00243217,"about_ca_system_score_gemma":0.001627373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804647,"about_ca_topic_score_gemma":0.00121555,"domain_scores_codex":[0.9944543,0.0009775433,0.0003985407,0.001015355,0.00276192,0.0003922809],"domain_scores_gemma":[0.993879,0.002948242,0.0004499327,0.001096008,0.001451919,0.0001748442],"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":[0.0002029527,0.00004435176,0.001416031,0.001074429,0.00006953306,0.0006084809,0.002080301,0.002609791,0.004909393,0.6614158,0.05956808,0.2660008],"study_design_scores_gemma":[0.00003594686,0.0001051963,0.00117625,0.001197436,0.00005211133,0.001969051,0.001245518,0.003282569,0.004733783,0.3362082,0.6498809,0.000113052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02131411,0.07729648,0.2983602,0.04368586,0.01472638,0.0003962743,0.002194076,0.002548573,0.539478],"genre_scores_gemma":[0.4457446,0.08294019,0.1200395,0.03512501,0.01435849,0.0009153142,0.003573306,0.002801833,0.2945018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03163672,"threshold_uncertainty_score":0.1058354,"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."}}