{"id":"W4416616567","doi":"10.5256/f1000research.19055.r41970","title":"Referee report. For: Breathe Easy EDA: A MATLAB toolbox for psychophysiology data management, cleaning, and analysis [version 2; referees: 2 approved]","year":2018,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Toolbox; MATLAB; Psychophysiology; Data collection","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009441572,0.001760916,0.00189641,0.004745429,0.003387318,0.00374073,0.003185136,0.004386439,0.6719499],"category_scores_gemma":[0.1955972,0.0008824525,0.001698304,0.003144734,0.001275267,0.003420528,0.004841486,0.004085851,0.4173017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002528279,"about_ca_system_score_gemma":0.004269678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0166216,"about_ca_topic_score_gemma":0.02216373,"domain_scores_codex":[0.9908031,0.002033808,0.001212048,0.001104065,0.004397727,0.0004492565],"domain_scores_gemma":[0.7732975,0.03214504,0.004140695,0.01300557,0.1725002,0.00491101],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000014658,0.000009177801,0.0000316959,0.00007305764,0.000003501045,0.00003182543,0.000044506,0.0000124999,0.0001398837,0.0001676948,0.9945898,0.004881814],"study_design_scores_gemma":[0.0001025963,0.00002945512,0.001131985,0.0003244217,0.00001968292,0.0001683911,0.0003149172,0.0002542732,0.0007678142,0.002291468,0.9944955,0.00009966324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.002068953,0.002792682,0.04442582,0.1875536,0.4352092,0.005727452,0.143801,0.0501595,0.1282618],"genre_scores_gemma":[0.01593334,0.001908853,0.02661108,0.06383611,0.0508157,0.007163235,0.04441325,0.02899332,0.7603251],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9905584,"threshold_uncertainty_score":0.4679236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023879030283132,"score_gpt":0.5074221598525028,"score_spread":0.3050342568241897,"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."}}