{"id":"W4290549295","doi":"10.1386/mms_00075_1","title":"Threat cues in metal’s visual code","year":2022,"lang":"en","type":"article","venue":"Metal Music Studies","topic":"Color perception and design","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Code (set theory); Luminance; Psychology; Communication; Cognitive psychology; Computer science; Artificial intelligence; Set (abstract data type)","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":[0.0003942942,0.0002289228,0.0001458758,0.0006686049,0.0004666932,0.001505956,0.0002939698,0.0003985695,0.004149182],"category_scores_gemma":[0.005180047,0.0001891032,0.0001697822,0.0002183563,0.001540032,0.0009391968,0.001968992,0.000460431,0.0002392727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549454,"about_ca_system_score_gemma":0.0001939506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007116128,"about_ca_topic_score_gemma":0.001048404,"domain_scores_codex":[0.9993806,0.0001327871,0.0000229959,0.00008090281,0.000308398,0.00007425128],"domain_scores_gemma":[0.9984261,0.0005678022,0.0003921156,0.0002081382,0.000224603,0.0001813953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00175002,0.00007750103,0.05916941,0.0004163081,0.00004127007,0.001401211,0.02226198,0.001742476,0.7712399,0.03613009,0.001135663,0.1046341],"study_design_scores_gemma":[0.0001031805,0.001824413,0.8134792,0.0002345781,0.00008057218,0.005070587,0.02373279,0.007625218,0.0966431,0.02592764,0.02510805,0.0001705664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735761,0.0000804236,0.005213764,0.00007989033,0.00001439727,0.00001465367,0.00001951278,0.00003188719,0.0209695],"genre_scores_gemma":[0.9973459,0.00002089892,0.001741481,0.00002471869,0.000004349647,0.000007680809,0.00001811968,0.00001578807,0.0008210583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004149182,"threshold_uncertainty_score":0.01388037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1874396552781581,"score_gpt":0.4201695242470256,"score_spread":0.2327298689688675,"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."}}