{"id":"W6894302343","doi":"10.5683/sp2/ezgf9h","title":"Model, code and source data for \"Development of a conversion model between mechanical and electrical vestibular stimuli\"","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Source code; Data file; MATLAB; Code (set theory); Vestibular system; Visualization; Data acquisition; Test data; Data visualization","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":[0.001771886,0.003782522,0.001496411,0.002545012,0.0009406399,0.001920072,0.003800183,0.002582192,0.1047904],"category_scores_gemma":[0.008467034,0.001082011,0.002407015,0.002421395,0.0005065939,0.00149675,0.00177714,0.002529136,0.158668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531623,"about_ca_system_score_gemma":0.002430012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711694,"about_ca_topic_score_gemma":0.03060147,"domain_scores_codex":[0.9988555,0.0001910264,0.0001247501,0.0004064653,0.0002956534,0.0001266404],"domain_scores_gemma":[0.9971061,0.001058366,0.0001575883,0.0006955271,0.0008105428,0.0001717736],"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":[0.0001090664,0.00004884972,0.0008007484,0.0008722687,0.00004964422,0.0000243474,0.00001925895,0.0008672265,0.0003845224,0.0002906715,0.9916614,0.00487195],"study_design_scores_gemma":[0.0006446124,0.000107023,0.005959684,0.0005160688,0.000101801,0.0001402186,0.0000900018,0.004901396,0.002456485,0.002947241,0.9820271,0.000108349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002509808,0.00006879984,0.0008307912,0.00009099846,0.00007637027,0.00005495957,0.9941592,0.003751754,0.0007161267],"genre_scores_gemma":[0.0006982325,0.00004658267,0.001934278,0.00007408867,0.00001136084,0.00039174,0.9952841,0.0006490682,0.0009105109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1047904,"threshold_uncertainty_score":0.3505588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149535162188071,"score_gpt":0.3247913190985137,"score_spread":0.2098378028797067,"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."}}