{"id":"W2129354237","doi":"10.1109/isbi.2012.6235575","title":"Atlas-based clustering of sulcal patterns — Application to the left inferior frontal sulcus","year":2012,"lang":"en","type":"article","venue":"","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Sulcus; Central sulcus; Artificial intelligence; Cluster analysis; Pattern recognition (psychology); Atlas (anatomy); Neuroscience; Neurophysiology; Computer science; Anatomy; Psychology; Biology; Motor cortex","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":[0.001010294,0.0004787997,0.0005971299,0.002625809,0.0009151847,0.0009430292,0.0004849075,0.0003909692,0.004014573],"category_scores_gemma":[0.003237292,0.0002704188,0.0007431917,0.002680323,0.000492978,0.0003524408,0.0006824746,0.0003969105,0.0008760394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008094955,"about_ca_system_score_gemma":0.001378153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286235,"about_ca_topic_score_gemma":0.0190921,"domain_scores_codex":[0.9994861,0.0001534984,0.0000432229,0.0001479598,0.0001296406,0.00003955722],"domain_scores_gemma":[0.9989478,0.000309213,0.0001155046,0.0003296513,0.0002474143,0.00005041769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004589964,0.0001018681,0.01947484,0.0004006345,0.0004714437,0.0004830284,0.001266426,0.1159443,0.0833228,0.01009829,0.009445092,0.7585322],"study_design_scores_gemma":[0.0001525463,0.0002723026,0.1002541,0.00007515702,0.0001933012,0.001947811,0.000703592,0.7592008,0.08609083,0.02666518,0.0242387,0.0002057627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2765198,0.0004893768,0.7059367,0.0003046749,0.00009530739,0.0002519322,0.003333512,0.008923416,0.004145265],"genre_scores_gemma":[0.5432415,0.0001846102,0.4516723,0.00003445884,0.00002911275,0.0001829381,0.002383364,0.0009224606,0.001349216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01286235,"threshold_uncertainty_score":0.02557498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04378298296341039,"score_gpt":0.3094176419600257,"score_spread":0.2656346589966154,"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."}}