{"id":"W3135576267","doi":"10.1007/s10072-021-05129-x","title":"Inter-individual variability in disease expression: the Tudor-Churchill spectrum","year":2021,"lang":"en","type":"article","venue":"Neurological Sciences","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; Krembil Foundation; University of Toronto; University Health Network","funders":"University of Toronto; Dalhousie University","keywords":"Broad spectrum; Expression (computer science); Disease; Neurology; Neuroradiology; Psychoanalysis; Neurosurgery; Psychology; Spectrum (functional analysis); History; Medicine; Neuroscience; Psychiatry; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01376745,0.0005326096,0.001237794,0.003344862,0.001787689,0.002163544,0.001569943,0.001234873,0.004897847],"category_scores_gemma":[0.0329828,0.0003597185,0.001092432,0.001703057,0.001929294,0.001688874,0.003556135,0.001352386,0.000464611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009278462,"about_ca_system_score_gemma":0.0009059997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161207,"about_ca_topic_score_gemma":0.01370212,"domain_scores_codex":[0.9910462,0.00295101,0.0006443167,0.002345379,0.002294892,0.000718112],"domain_scores_gemma":[0.9628575,0.02000307,0.005896245,0.006195184,0.00334598,0.001702013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044275,0.00013309,0.9361568,0.00008255749,0.001429575,0.0006028223,0.002604323,0.0004283528,0.004016599,0.003338366,0.002099321,0.04806395],"study_design_scores_gemma":[0.00001637485,0.0001672676,0.9923578,0.00004118332,0.0001302479,0.0006254526,0.0008219765,0.001200674,0.0004015966,0.002611527,0.00158332,0.00004261094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700181,0.003891773,0.009110451,0.001819711,0.0001984294,0.00009296492,0.000890679,0.0001190642,0.01385881],"genre_scores_gemma":[0.9976774,0.0002372754,0.0007669324,0.000151387,0.00005495114,0.00001688282,0.0002121725,0.00004398225,0.0008390411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01376745,"threshold_uncertainty_score":0.07281011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071902759438572,"score_gpt":0.3565194387106342,"score_spread":0.249329162766777,"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."}}