{"id":"W6950315223","doi":"10.5281/zenodo.6572524","title":"Towards MerMEId 2.0","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Bridging (networking); Encoding (memory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01557487,0.001876103,0.001285043,0.004806825,0.001532749,0.01061773,0.006132001,0.004379217,0.03838077],"category_scores_gemma":[0.03181111,0.002619624,0.001647531,0.002554007,0.001405366,0.01760675,0.01307528,0.008699629,0.07425494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696921,"about_ca_system_score_gemma":0.004900971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002839744,"about_ca_topic_score_gemma":0.002718783,"domain_scores_codex":[0.9919179,0.001477539,0.0009070222,0.00130882,0.003725054,0.0006635922],"domain_scores_gemma":[0.991634,0.00146269,0.0003278801,0.002043306,0.003200649,0.001331329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007180736,0.0002418608,0.001664647,0.001541771,0.0000710006,0.0007003064,0.003015227,0.001311801,0.01456659,0.1681553,0.4943791,0.3136343],"study_design_scores_gemma":[0.00002345705,0.00003128879,0.0001791148,0.000269822,0.00001261006,0.0001996577,0.000119092,0.001177859,0.002946859,0.009152931,0.9858341,0.000053306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006672696,0.007278194,0.6578205,0.01142245,0.006833606,0.0009544009,0.01606966,0.1879787,0.1049698],"genre_scores_gemma":[0.02467767,0.005324848,0.6855975,0.006749624,0.001507298,0.001524622,0.08825497,0.0765497,0.1098138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03838077,"threshold_uncertainty_score":0.1283965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366515456874367,"score_gpt":0.2405457782776453,"score_spread":0.2038942325902086,"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."}}