{"id":"W6987659347","doi":"","title":"The 12-th International Symposium on Sound and Vision Engineering and Mastering - ISSVEM'07","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plenary session; Session (web analytics); Musicology; Sound (geography); Section (typography); Music technology; Sound recording and reproduction","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001066438,0.0001822601,0.0002453985,0.0001874582,0.0003657772,0.004331881,0.001929383,0.00004498939,0.0001084567],"category_scores_gemma":[0.0001128988,0.0001344574,0.00004127599,0.0001781757,0.00007202401,0.002233558,0.001426988,0.0002224314,0.000003698947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003029267,"about_ca_system_score_gemma":0.00001790401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000294425,"about_ca_topic_score_gemma":0.000004009512,"domain_scores_codex":[0.9985713,0.00006566117,0.0003543732,0.0003462098,0.0004293141,0.0002331766],"domain_scores_gemma":[0.998841,0.0003443731,0.0002998229,0.0002928232,0.0000842846,0.0001377047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001534732,0.0001555153,0.08861828,0.0002612218,0.0002354556,0.00003511335,0.001962175,0.003649964,0.1903166,0.007283262,0.008496534,0.6988324],"study_design_scores_gemma":[0.001747697,0.00009305048,0.5184212,0.002497889,0.0000549523,0.0001857341,0.00008460419,0.2726682,0.0304417,0.02333418,0.1490762,0.001394542],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.820206,0.004117228,0.1647749,0.00241263,0.001699684,0.0002271903,0.000002814243,0.00007085424,0.00648862],"genre_scores_gemma":[0.996245,0.001572497,0.001370585,0.0004281387,0.0002121899,0.00000499576,6.103568e-7,0.00001735414,0.0001486248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6974379,"threshold_uncertainty_score":0.9967017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085858139717042,"score_gpt":0.4692733659425951,"score_spread":0.360687551970891,"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."}}