{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006675412,0.002093977,0.001047619,0.001804685,0.0007333153,0.001141317,0.002473803,0.001667474,0.03487835],"category_scores_gemma":[0.003134153,0.0003146539,0.00103328,0.002796606,0.0003765284,0.0005039321,0.001365921,0.00134694,0.05506647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741944,"about_ca_system_score_gemma":0.001252577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663119,"about_ca_topic_score_gemma":0.04211381,"domain_scores_codex":[0.999468,0.00008964607,0.00006316105,0.0001369976,0.0001484256,0.00009369354],"domain_scores_gemma":[0.9989979,0.0001849742,0.00008744371,0.0002735381,0.000320998,0.000135213],"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":[0.0001624463,0.00008730382,0.001912173,0.0003655124,0.00005848174,0.00009728333,0.00002795973,0.0003500644,0.0003514035,0.0002349402,0.9882137,0.008138798],"study_design_scores_gemma":[0.0009306052,0.000147483,0.03681152,0.0002574343,0.0001516382,0.000568056,0.0002329783,0.002307566,0.001648778,0.002132382,0.9547218,0.00008978989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002574591,0.00020774,0.0003287114,0.0002014611,0.0001023382,0.00006438518,0.9937807,0.0007303642,0.002009607],"genre_scores_gemma":[0.002576994,0.00007045223,0.0004551804,0.00006341405,0.00002630662,0.0001425724,0.9949705,0.00004892451,0.001645611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03487835,"threshold_uncertainty_score":0.1166797,"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."}}