{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002403351,0.0007082151,0.0003751315,0.001041873,0.004962801,0.006307436,0.001105207,0.001962437,0.008328647],"category_scores_gemma":[0.0136086,0.0004055755,0.0003113422,0.0005617247,0.009744489,0.005688852,0.006796042,0.002663146,0.001476448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283126,"about_ca_system_score_gemma":0.001073624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003593073,"about_ca_topic_score_gemma":0.003167633,"domain_scores_codex":[0.9957606,0.001935549,0.0001401093,0.0005576347,0.00111195,0.000494193],"domain_scores_gemma":[0.9950892,0.002957948,0.0006312754,0.000583956,0.000437915,0.0002995898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001085016,0.0001888595,0.01927297,0.000702025,0.00006333892,0.01341281,0.5191014,0.001526391,0.03142788,0.2566235,0.01449822,0.1420976],"study_design_scores_gemma":[0.00006834647,0.0004606847,0.009803713,0.001452243,0.0001292681,0.01249459,0.3687578,0.005352776,0.03123372,0.07991287,0.4901582,0.0001759064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7090541,0.001556403,0.04041634,0.009558859,0.0005327346,0.00007660036,0.00007589474,0.0007963346,0.2379327],"genre_scores_gemma":[0.9838735,0.0002626216,0.001825817,0.0005549321,0.00005159261,0.00002317372,0.00002365592,0.0001637304,0.0132209],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9916713,"threshold_uncertainty_score":0.02786207,"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."}}