{"id":"W3041918170","doi":"","title":"Dynamic Brain Circuits Cluster Sample OSF Project","year":2020,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sample (material); Cluster (spacecraft); Computer science; Programming language; Physics","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":[0.0007910821,0.001405924,0.0006930729,0.002963491,0.00094598,0.001313635,0.000942075,0.000830564,0.07199287],"category_scores_gemma":[0.002749492,0.0003342196,0.0008095773,0.003134164,0.0003740958,0.001361998,0.001595022,0.0009572383,0.03683912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007389164,"about_ca_system_score_gemma":0.001748855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006576254,"about_ca_topic_score_gemma":0.006774097,"domain_scores_codex":[0.9993846,0.00005366447,0.00001809787,0.0001898971,0.0002174325,0.0001362834],"domain_scores_gemma":[0.9987543,0.0001198721,0.00004337217,0.0003158742,0.0005317095,0.0002349638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001355104,0.0001622408,0.004128397,0.0002971283,0.0001265153,0.0001597687,0.0001605979,0.004989848,0.01561591,0.01003858,0.792976,0.1699898],"study_design_scores_gemma":[0.0007690013,0.000535808,0.0809876,0.0001054581,0.0001929741,0.0006684188,0.000489334,0.07686439,0.04722467,0.04833886,0.7436473,0.0001761433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1189336,0.001059658,0.130185,0.002080365,0.001578604,0.0007964408,0.5500691,0.06332829,0.1319689],"genre_scores_gemma":[0.1872512,0.0007513758,0.1107288,0.0002258162,0.0008188776,0.001316097,0.633933,0.01647533,0.04849963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07199287,"threshold_uncertainty_score":0.2408401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373303383885957,"score_gpt":0.2862092747707822,"score_spread":0.2524762409319227,"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."}}