{"id":"W4393279752","doi":"10.3390/jimaging10040080","title":"Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing","year":2024,"lang":"en","type":"article","venue":"Journal of Imaging","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hoblitzelle Foundation","keywords":"Magnetoencephalography; Computer science; Magnetic resonance imaging; Artificial intelligence; Neuroimaging; Dipole; Computer vision; Medicine; Electroencephalography; Radiology; Physics; Neuroscience; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001790179,0.002288779,0.001425299,0.002737497,0.0006140089,0.002258859,0.002978357,0.001467083,0.2028986],"category_scores_gemma":[0.005787823,0.001225353,0.00129394,0.002057131,0.0003413445,0.001971054,0.002811079,0.00237372,0.04745629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005527671,"about_ca_system_score_gemma":0.001963072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003630789,"about_ca_topic_score_gemma":0.005197071,"domain_scores_codex":[0.9994752,0.000125963,0.0001066386,0.0001116561,0.0001334775,0.00004714239],"domain_scores_gemma":[0.9984732,0.0006854052,0.0001037887,0.0003022028,0.0003324884,0.0001028642],"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":[0.000631792,0.00006679551,0.0009817963,0.001314543,0.0001665502,0.0008792045,0.0005287945,0.002767875,0.007436691,0.01140747,0.8168559,0.1569626],"study_design_scores_gemma":[0.0005276226,0.0001102127,0.003555054,0.0002958839,0.0001278561,0.002644316,0.0002094327,0.02239763,0.01323342,0.02969208,0.9270329,0.0001735639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002763931,0.0007457379,0.6359639,0.0009054518,0.0005715227,0.0006931084,0.1325149,0.2078856,0.01795582],"genre_scores_gemma":[0.04382218,0.001251185,0.6829991,0.001006285,0.0003233468,0.004094562,0.1555507,0.08616034,0.02479231],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2028986,"threshold_uncertainty_score":0.6787635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458092667974668,"score_gpt":0.3209359032856862,"score_spread":0.3063549766059395,"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."}}