{"id":"W2978867434","doi":"10.3233/thc-195646","title":"Development of a quantitative statistical analysis system for double inversion recovery (DIR) MRI: A preliminary clinical study","year":2019,"lang":"en","type":"article","venue":"Technology and Health Care","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Spatial normalization; Tuberous sclerosis; Nuclear medicine; Epilepsy; Voxel; Radiology; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0184776,0.0008502695,0.0006612278,0.001190105,0.0004573981,0.0008013761,0.0007724381,0.0006989607,0.002049955],"category_scores_gemma":[0.02450371,0.0003211094,0.0005369144,0.0005472766,0.001006866,0.0009056084,0.0009256896,0.0007028074,0.0007762948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004317412,"about_ca_system_score_gemma":0.001372433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008212927,"about_ca_topic_score_gemma":0.0007590255,"domain_scores_codex":[0.9952956,0.002744253,0.0003773573,0.0004511416,0.001004593,0.0001271636],"domain_scores_gemma":[0.9868932,0.005888086,0.0005664105,0.001392433,0.004856305,0.000403529],"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":[0.004127075,0.002557493,0.1437798,0.000796583,0.000324832,0.0009978445,0.001718898,0.01241894,0.1575433,0.002837953,0.005048551,0.6678486],"study_design_scores_gemma":[0.002410845,0.05811144,0.3720811,0.0003470638,0.0008433164,0.01181058,0.001343737,0.380025,0.1376191,0.005463395,0.02936273,0.0005816284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3900888,0.0006155798,0.6000994,0.000585179,0.0001303619,0.004162173,0.0005913528,0.001724423,0.002002655],"genre_scores_gemma":[0.4366939,0.0002870163,0.5577285,0.0001672203,0.00008246135,0.003007489,0.0009293523,0.0002991535,0.000804849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0184776,"threshold_uncertainty_score":0.09772009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06990599833655592,"score_gpt":0.4618051444152565,"score_spread":0.3918991460787006,"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."}}