{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006449167,0.0000835889,0.00008525734,0.0001454322,0.004091987,0.0008495524,0.002168233,0.00001624186,0.01291262],"category_scores_gemma":[0.0001196628,0.00009136966,0.0000374068,0.000731031,0.00005714127,0.000348229,0.004085173,0.0002366924,0.002036136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117062,"about_ca_system_score_gemma":0.000006862418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000647166,"about_ca_topic_score_gemma":2.141441e-8,"domain_scores_codex":[0.9985172,0.0002422008,0.0001466787,0.0003584999,0.0004528498,0.0002825796],"domain_scores_gemma":[0.9992138,0.000008037206,0.00007232169,0.000432336,0.0001670847,0.0001063961],"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":[0.000008708716,0.00008358854,6.998503e-7,0.00001907059,0.00001334544,0.00002335334,0.00193528,0.0001586251,0.002257003,0.04358679,0.3240281,0.6278855],"study_design_scores_gemma":[0.0001890198,0.0001059913,0.00009845488,0.00000400479,0.0000022413,0.0001380685,0.000122484,0.002946053,0.0004398205,0.001117498,0.994719,0.0001173898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006439759,0.0001952271,0.4148947,0.008256678,0.0004240962,0.0003132483,0.00006201218,0.002405381,0.5670089],"genre_scores_gemma":[0.99061,0.00001721341,0.004272286,0.001907644,0.0001468963,6.681694e-8,0.0002359101,0.0007212086,0.002088757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841703,"threshold_uncertainty_score":0.9987409,"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."}}