{"id":"W3209747176","doi":"10.5281/zenodo.3888381","title":"The WWU DUNEuro reference data set for combined EEG/MEG source analysis","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electroencephalography; Data set; Set (abstract data type); Computer science; Pattern recognition (psychology); Artificial intelligence; Psychology; Neuroscience","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":[0.0009987183,0.002367799,0.001334139,0.002794203,0.0006405407,0.00118699,0.002739017,0.001866198,0.0265573],"category_scores_gemma":[0.002727216,0.0003804046,0.00120629,0.002941398,0.0003399453,0.0007756319,0.001899593,0.001074734,0.03437068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972038,"about_ca_system_score_gemma":0.001360017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230148,"about_ca_topic_score_gemma":0.02022433,"domain_scores_codex":[0.9993302,0.0001125548,0.00009568869,0.0002123266,0.0001591215,0.00009016844],"domain_scores_gemma":[0.9989558,0.0001966767,0.00008938574,0.000338328,0.0003380329,0.00008162684],"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":[0.000260371,0.0001340233,0.002454082,0.001214765,0.0001577758,0.0004335673,0.00007143247,0.003805908,0.003154519,0.0009523747,0.9476615,0.03969981],"study_design_scores_gemma":[0.0004052079,0.0001598006,0.02157668,0.0005433407,0.0001620486,0.0009919441,0.0002938034,0.01086729,0.006499732,0.003092383,0.9552294,0.0001783069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004980183,0.0004353205,0.00510653,0.0001670326,0.0002022963,0.0001471083,0.9832893,0.003271976,0.002400139],"genre_scores_gemma":[0.003928181,0.0001144502,0.004155128,0.00005141779,0.00002596058,0.0004179298,0.9898024,0.0002739014,0.001230657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0265573,"threshold_uncertainty_score":0.08884299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08038248709007362,"score_gpt":0.3028233394110532,"score_spread":0.2224408523209796,"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."}}