{"id":"W2951552329","doi":"10.1016/j.neuroimage.2017.03.055","title":"Mindcontrol: A web application for brain segmentation quality control","year":2017,"lang":"en","type":"review","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Defense Science and Engineering Graduate","keywords":"Computer science; Quality (philosophy); Segmentation; Process (computing); Connectome; Software; Dashboard; Control (management); Toolbox; Data quality; Quality assurance; Reliability (semiconductor); Data mining; Data science; Artificial intelligence; Metric (unit)","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":[0.006852421,0.002175814,0.001911078,0.005775138,0.0005148749,0.00277664,0.003253278,0.001796181,0.06362423],"category_scores_gemma":[0.01330014,0.001581046,0.002045654,0.003064281,0.0006041987,0.002855259,0.003339355,0.001799307,0.02642175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006276236,"about_ca_system_score_gemma":0.001587197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842561,"about_ca_topic_score_gemma":0.002039587,"domain_scores_codex":[0.9983437,0.0003934294,0.0002782836,0.0003196948,0.0005837148,0.0000811756],"domain_scores_gemma":[0.9914361,0.005459212,0.0005577223,0.0007640912,0.001456471,0.0003264129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001381296,0.0001756366,0.002395006,0.008158766,0.0008444982,0.0007109293,0.0007642879,0.003429425,0.01476702,0.007459231,0.4304644,0.5294495],"study_design_scores_gemma":[0.001050142,0.0001866014,0.01568117,0.002686491,0.0005883554,0.001959285,0.0001924946,0.03156066,0.0324565,0.02991231,0.8831558,0.0005701421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003387483,0.007013207,0.3907304,0.001095196,0.0005023727,0.001161784,0.03433974,0.550614,0.01115588],"genre_scores_gemma":[0.04375277,0.01097157,0.6826218,0.002671994,0.0007906781,0.007766465,0.09701216,0.1297998,0.0246127],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06362423,"threshold_uncertainty_score":0.2128443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2279204736967024,"score_gpt":0.4476172869854863,"score_spread":0.2196968132887839,"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."}}