{"id":"W4381489669","doi":"10.32388/exqtsa","title":"Review of: \"Prediction and Analysis of Structural Brain Health Indicators Using Deep Learning Models with Functional Brain Images as Input\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Computer science; Neuroimaging; Pattern recognition (psychology); Neuroscience; Psychology","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":[0.007611202,0.000740338,0.00116701,0.003173509,0.0005118713,0.001993013,0.002108843,0.002038745,0.01143745],"category_scores_gemma":[0.04152661,0.0003503654,0.0008634548,0.00285461,0.001180294,0.002452201,0.001601144,0.002227319,0.01034184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391841,"about_ca_system_score_gemma":0.008019448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005129887,"about_ca_topic_score_gemma":0.0082659,"domain_scores_codex":[0.9976655,0.0006104474,0.0002823761,0.0003203936,0.001005245,0.0001161063],"domain_scores_gemma":[0.9625005,0.01063887,0.001002109,0.001128425,0.02379342,0.0009367408],"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":[0.00007135193,0.00003068586,0.0002533093,0.002879428,0.00008904485,0.00004158177,0.00002898145,0.0004003642,0.0003762987,0.002578641,0.7961404,0.19711],"study_design_scores_gemma":[0.0000329262,0.00006718547,0.001408125,0.002951949,0.0001553828,0.0001710891,0.00004246638,0.0009738416,0.001130313,0.003306436,0.989715,0.00004531845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.002730677,0.5562003,0.04005288,0.2277052,0.1391266,0.0006096846,0.005422528,0.001299767,0.02685243],"genre_scores_gemma":[0.02186232,0.7628596,0.02055995,0.04636541,0.07537992,0.0004709683,0.009464497,0.0007608291,0.0622765],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01143745,"threshold_uncertainty_score":0.04025233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763511051568677,"score_gpt":0.3381451828949186,"score_spread":0.2617940777380509,"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."}}