{"id":"W2754201150","doi":"10.1097/md.0000000000007948","title":"Correlations between clinical characteristics and neuroimaging in Chinese patients with subtypes of frontotemporal lobe degeneration","year":2017,"lang":"en","type":"article","venue":"Medicine","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Atrophy; Temporal lobe; Frontotemporal lobar degeneration; Neuroimaging; Frontotemporal dementia; Temporal cortex; Pittsburgh compound B; Semantic dementia; Frontal lobe; Dementia; Pathology; Audiology; Psychology; Neuroscience; Psychiatry; Epilepsy; Disease","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":[0.0002677318,0.000329299,0.0004334619,0.001040354,0.0007015607,0.0003276371,0.0002551465,0.00035106,0.001283743],"category_scores_gemma":[0.001107458,0.0002058507,0.0002903061,0.0009187086,0.0003511392,0.0002925765,0.0002571577,0.0002337247,0.0001373177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004408243,"about_ca_system_score_gemma":0.0004385894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01459149,"about_ca_topic_score_gemma":0.01466802,"domain_scores_codex":[0.9998268,0.00002432709,0.00002946937,0.00004679595,0.00003552787,0.00003711009],"domain_scores_gemma":[0.9994317,0.00009498157,0.0002233427,0.00004314029,0.00008728593,0.0001195107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008855852,0.00001588851,0.9977483,0.000007113627,0.0000261339,0.0004254333,0.0001309241,0.00003333431,0.0005051232,0.00001453869,0.00004365761,0.0009609527],"study_design_scores_gemma":[0.000004832135,0.00002847171,0.9988458,0.000002549783,0.00001380023,0.0007631421,0.0001474209,0.00007248007,0.00003971425,0.00002035395,0.00005880933,0.000002534775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995282,0.0001140935,0.00001697896,0.00002114543,0.000001885993,0.000004386023,0.00006505045,0.000001133932,0.0002472025],"genre_scores_gemma":[0.9996107,0.00007426335,0.00003294355,0.00001913475,0.000008115673,0.000005183896,0.0001746144,9.868677e-7,0.00007401814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01459149,"threshold_uncertainty_score":0.0290131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475913509854957,"score_gpt":0.371983319533584,"score_spread":0.3372241844350344,"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."}}