{"id":"W6958742555","doi":"10.7910/dvn/skownk","title":"Musicianship EEG Dataset","year":2024,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electroencephalography; Association (psychology); Sound (geography); Artificial neural network; Auditory perception","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001007131,0.0003361651,0.0004278101,0.0002916616,0.0006242297,0.0005224508,0.001461973,0.0005198494,0.08618442],"category_scores_gemma":[0.000260666,0.0002924936,0.0002411658,0.0006354962,0.0005700543,0.0004900231,0.0005381997,0.0006814977,0.7077972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163439,"about_ca_system_score_gemma":0.0005331993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01059357,"about_ca_topic_score_gemma":0.02129836,"domain_scores_codex":[0.9971894,0.0003319342,0.0003458299,0.0007262517,0.0008634874,0.0005430708],"domain_scores_gemma":[0.9978846,0.0001054934,0.0001476876,0.001496435,0.00005466571,0.0003111337],"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":[0.00000856441,0.00004711644,0.00000155909,0.0001121533,0.0001891771,0.0003437188,0.0002051081,0.000001196117,0.000001197623,0.0005719748,0.9983248,0.0001934642],"study_design_scores_gemma":[0.00008536224,0.00001073,0.000004306098,0.00008957856,0.0007387879,0.000002341971,0.0005226375,0.000002801523,8.863884e-7,0.0002169274,0.9979286,0.0003971049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003186804,0.000008857117,0.000001435546,0.0001090144,0.00216018,0.0001877055,0.9948856,0.00009811055,0.00254595],"genre_scores_gemma":[0.0000107219,0.0005499957,0.00002573309,0.001085578,0.001564516,0.00001648208,0.9930347,0.00002068945,0.003691613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6216128,"threshold_uncertainty_score":0.9999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330114211248262,"score_gpt":0.2917841392601596,"score_spread":0.268482997147677,"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."}}