{"id":"W4293569210","doi":"10.7554/elife.79277","title":"Neuroscout, a unified platform for generalizable and reproducible fMRI research","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Canada First Research Excellence Fund; Fondation Brain Canada","keywords":"Computer science; Generalizability theory; Functional magnetic resonance imaging; Artificial intelligence; Data science; Automation; Human–computer interaction; Machine learning; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02326475,0.002650905,0.001755381,0.005828679,0.001574752,0.004630186,0.003955351,0.001962572,0.02864506],"category_scores_gemma":[0.07929771,0.002059205,0.003681838,0.003172376,0.001926534,0.004383577,0.009388824,0.003462875,0.01424611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554507,"about_ca_system_score_gemma":0.007983821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904417,"about_ca_topic_score_gemma":0.01093134,"domain_scores_codex":[0.9921092,0.00282149,0.001048349,0.002013058,0.001733162,0.0002747506],"domain_scores_gemma":[0.9504783,0.02976673,0.00335353,0.01069239,0.004124564,0.001584458],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003959436,0.0005399574,0.01409109,0.01169824,0.00487873,0.002822476,0.005095113,0.01342922,0.03770001,0.06559271,0.5462127,0.2939803],"study_design_scores_gemma":[0.001856877,0.0004194227,0.01856763,0.002192243,0.001421861,0.001543158,0.0006438263,0.05072013,0.04252157,0.2359679,0.6433511,0.0007943612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007062614,0.001993843,0.696664,0.002543789,0.0009081904,0.002737709,0.07364509,0.2039185,0.01052632],"genre_scores_gemma":[0.04724238,0.001832835,0.7880741,0.00276195,0.0004174176,0.01368962,0.07505358,0.06460571,0.006322393],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9767352,"threshold_uncertainty_score":0.1230372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2420142499289341,"score_gpt":0.3739732526092167,"score_spread":0.1319590026802825,"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."}}