{"id":"W1550711264","doi":"10.1007/978-3-540-40899-4_1","title":"A 3-Dimensional Database of Deep Brain Functional Anatomy, and Its Application to Image-Guided Neurosurgery","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Computer science; Surgical planning; Population; Neurosurgery; Database; Medical physics; Medicine; Radiology","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":[0.0005232058,0.0006308146,0.001031743,0.001905482,0.0004621494,0.001988559,0.001779054,0.0008256713,0.007606917],"category_scores_gemma":[0.001985806,0.0007438188,0.0009315836,0.002859581,0.0003041548,0.001361961,0.001092774,0.001130803,0.004296792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004342963,"about_ca_system_score_gemma":0.001008828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702279,"about_ca_topic_score_gemma":0.01300718,"domain_scores_codex":[0.9996953,0.00002999984,0.00003806927,0.00008122961,0.0001352264,0.00002020402],"domain_scores_gemma":[0.999413,0.0001250927,0.0000422892,0.0002155391,0.0001573836,0.00004673814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003138236,0.0001457176,0.001560481,0.0002806344,0.00008106649,0.000263296,0.0001179922,0.03500715,0.01390831,0.0109918,0.06817675,0.8691528],"study_design_scores_gemma":[0.0001024289,0.0002869594,0.01243793,0.0001735807,0.0001697282,0.003266912,0.0002053419,0.7471386,0.03411464,0.07650241,0.1253839,0.0002176239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0164951,0.001901163,0.9432313,0.0003798848,0.0001877966,0.0001820294,0.02245842,0.01158173,0.003582498],"genre_scores_gemma":[0.1318198,0.004043562,0.8107169,0.0002891527,0.0001256016,0.0006607,0.04293019,0.001681674,0.00773241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007606917,"threshold_uncertainty_score":0.02544767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034587252406901,"score_gpt":0.2718139413326631,"score_spread":0.2514680688085941,"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."}}