{"id":"W4391164977","doi":"10.1162/leon_a_02495","title":"Plus noise unlock","year":2024,"lang":"en","type":"article","venue":"Leonardo","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Noise (video); Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001251206,0.00004241641,0.00005431056,0.00002587493,0.00003779986,0.0001477291,0.0001033034,0.0000385242,0.0003282353],"category_scores_gemma":[0.00005114483,0.00003687023,0.00005064024,0.0001583021,0.00008425415,0.0001346468,0.00001923254,0.0000568412,0.001066723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005366278,"about_ca_system_score_gemma":0.000166852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239856,"about_ca_topic_score_gemma":0.0002794692,"domain_scores_codex":[0.9994437,0.00001423572,0.0000555298,0.0001145463,0.0001937467,0.0001782779],"domain_scores_gemma":[0.9997654,0.00004924369,0.000005758194,0.00006742683,0.00001421823,0.00009798401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003162487,0.0000103216,0.0001123136,0.0000170748,0.00001118965,0.00007901126,0.01524117,0.000006379356,0.00003663254,0.2693244,0.02338886,0.6917695],"study_design_scores_gemma":[0.00003279428,0.000008698144,0.0001341792,0.00002240935,0.000004051943,8.112612e-7,0.00302296,0.00003525901,0.00001553971,0.0008719529,0.9957964,0.00005497406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01289637,0.001358839,0.00004565771,0.009559771,0.001341164,0.00007374174,0.000005248441,0.0002104157,0.9745088],"genre_scores_gemma":[0.7351556,0.0001158586,0.00004807959,0.0003107089,0.0005038531,0.000004998771,0.000001911135,0.000006288933,0.2638527],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9724075,"threshold_uncertainty_score":0.999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939726727456914,"score_gpt":0.3046167071004529,"score_spread":0.2852194398258837,"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."}}