{"id":"W4389138108","doi":"10.1016/j.brs.2023.11.011","title":"MNI2CPC: A probabilistic cortex-to-scalp mapping for non-invasive brain stimulation targeting","year":2023,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Servier; National Natural Science Foundation of China","keywords":"Scalp; Neuroscience; Stimulation; Brain stimulation; Probabilistic logic; Cortex (anatomy); Medicine; Computer science; Psychology; Anatomy; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003240905,0.0002191024,0.000318597,0.0002412111,0.0002146442,0.00003593532,0.0000634488,0.0001270779,0.00005287023],"category_scores_gemma":[0.003498658,0.0001955352,0.0001340734,0.0006753777,0.00003175031,0.00009958541,0.00004795312,0.000102296,0.000189662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008426806,"about_ca_system_score_gemma":0.00006392505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515798,"about_ca_topic_score_gemma":0.000007915735,"domain_scores_codex":[0.9983367,0.0000539707,0.0003991364,0.0005263176,0.0002828951,0.0004009896],"domain_scores_gemma":[0.9977911,0.001535685,0.0001200321,0.0002137951,0.0001721521,0.0001672644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003669833,0.001609252,0.2016104,0.001751587,0.000480177,0.0002990545,0.004231631,0.3248524,0.2626797,0.00210366,0.1106691,0.08604323],"study_design_scores_gemma":[0.004513521,0.001050612,0.6373149,0.0001425711,0.00007515665,0.000002604622,0.00009257673,0.345007,0.0001747573,0.01009021,0.001283314,0.0002527981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624992,0.00001411656,0.02447093,0.008679005,0.0001719217,0.003431985,0.0000350868,0.0003145455,0.0003831821],"genre_scores_gemma":[0.9915837,0.000002099824,0.003118423,0.002928109,0.0001643101,0.0002788827,0.0008446763,0.00004503352,0.00103476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4357045,"threshold_uncertainty_score":0.7973696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988744378596253,"score_gpt":0.3124922790315223,"score_spread":0.2726048352455598,"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."}}