{"id":"W105164381","doi":"10.1016/b978-012077790-7/50015-1","title":"Fully Automated Hybrid Segmentation of the Brain","year":2000,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Pattern recognition (psychology); Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003249795,0.0002896385,0.0003380665,0.0001408656,0.00008775175,0.00007289254,0.001312096,0.0001399547,0.0003750498],"category_scores_gemma":[0.00002914506,0.000220383,0.0002073021,0.00003389576,0.0002185181,0.0001275112,0.0002824902,0.0003182809,0.00009604033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008689937,"about_ca_system_score_gemma":0.0001923396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001000203,"about_ca_topic_score_gemma":0.000002317684,"domain_scores_codex":[0.9979325,0.00009045969,0.0006132156,0.0004266255,0.0007331537,0.0002040663],"domain_scores_gemma":[0.9982454,0.0001003322,0.0004692158,0.000988278,0.000105304,0.00009147302],"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":[0.000002110149,0.000006418154,4.860116e-7,0.00003536761,0.00002994687,0.000009746491,0.0001592648,6.488239e-7,0.0008437685,0.00260778,0.003781142,0.9925233],"study_design_scores_gemma":[0.000834112,0.0002275857,0.0000595177,0.00139217,0.0001136995,0.0001129331,0.000006737195,0.002278701,0.1383581,0.07452302,0.7810595,0.001033969],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001435139,0.0001360832,0.01591308,0.0004031515,0.000299796,0.0008254556,0.00002358909,0.0007902079,0.9815943],"genre_scores_gemma":[0.000240693,0.00003825856,0.03252974,0.00279747,0.00007693655,0.00004352041,0.00002026382,0.00004425803,0.9642088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9914894,"threshold_uncertainty_score":0.8986958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143688796947599,"score_gpt":0.2566730134144004,"score_spread":0.2452361254449244,"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."}}