{"id":"W6983718505","doi":"","title":"Neuro-Information Systems : methodological developments","year":2017,"lang":"en","type":"article","venue":"University Library Linz repository (Johannes Kepler Universitat Linz)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HEC Montréal","keywords":"Scope (computer science); Subject (documents); Order (exchange); Field (mathematics); Table (database)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01162913,0.001075374,0.0008256437,0.006178392,0.001941619,0.009924187,0.00222423,0.002773771,0.00921589],"category_scores_gemma":[0.01815742,0.0009255101,0.000988434,0.008231631,0.01000673,0.009193693,0.003909088,0.006608703,0.004505366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004120054,"about_ca_system_score_gemma":0.005608204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002683856,"about_ca_topic_score_gemma":0.00219193,"domain_scores_codex":[0.9927444,0.004438326,0.0005777887,0.00100384,0.001045699,0.0001899477],"domain_scores_gemma":[0.9874038,0.009118506,0.0004771372,0.001360231,0.001391214,0.0002491364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007832149,0.00002423827,0.0002868404,0.0007079817,0.00002522711,0.00007129543,0.0009115403,0.000499531,0.0001251476,0.9463035,0.006827528,0.04420928],"study_design_scores_gemma":[0.000007174982,0.00002722053,0.0007192377,0.001259716,0.00001666799,0.0003245199,0.000793165,0.001877618,0.0002838994,0.7610745,0.2335982,0.0000180722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005033408,0.2911813,0.4354705,0.05984541,0.006086607,0.0003056925,0.0007529153,0.0003793804,0.2009447],"genre_scores_gemma":[0.1982362,0.3273937,0.410831,0.01092504,0.01322974,0.00193443,0.0008739831,0.0004863252,0.03608952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01162913,"threshold_uncertainty_score":0.0615015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05298362385958174,"score_gpt":0.2432431823795723,"score_spread":0.1902595585199906,"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."}}