{"id":"W2417192479","doi":"10.1016/b978-0-12-404706-8.00012-7","title":"Multimodal Imaging and Image Analysis Techniques for Neuromodulation","year":2012,"lang":"en","type":"review","venue":"International review of neurobiology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Neuroscience; Computer science; Motor symptoms; Visualization; Neuromodulation; Magnetic resonance imaging; Identification (biology); Functional magnetic resonance imaging; Artificial intelligence; High resolution; Parkinson's disease; Psychology; Medicine; Disease; Radiology; Pathology; Biology","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":[0.0009597135,0.001373919,0.001819458,0.003777056,0.0002601859,0.001161264,0.00136647,0.00141329,0.003409765],"category_scores_gemma":[0.001454017,0.000380313,0.0007700124,0.003172867,0.001001467,0.001868271,0.0009276867,0.001843271,0.001778554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005648822,"about_ca_system_score_gemma":0.001205212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559963,"about_ca_topic_score_gemma":0.002348889,"domain_scores_codex":[0.9996911,0.00006097273,0.00004479216,0.00005635507,0.0001233277,0.00002337099],"domain_scores_gemma":[0.9991812,0.0004972099,0.0001083178,0.00002074012,0.0001585941,0.00003405363],"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":[0.00005984596,0.00007143074,0.0002066663,0.009220351,0.00009153965,0.0002401854,0.00003403653,0.0002660816,0.002590336,0.001580107,0.01548587,0.9701536],"study_design_scores_gemma":[0.00006255593,0.0002675331,0.003131132,0.006617599,0.0004505251,0.008382728,0.0001454311,0.0008961138,0.00445069,0.005776425,0.9696859,0.0001333795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001178253,0.998148,0.000683289,0.0001827352,0.0001250764,0.00000790818,0.00001566746,0.00001160923,0.0007080655],"genre_scores_gemma":[0.001004878,0.9962056,0.001520165,0.0002653114,0.0003772399,0.00001555389,0.00003615539,0.000004660728,0.0005705081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003777056,"threshold_uncertainty_score":0.01140684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04406087883745231,"score_gpt":0.3961671125775467,"score_spread":0.3521062337400944,"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."}}