{"id":"W3124177396","doi":"10.2139/ssrn.3682001","title":"Generative Lesion Pattern Decomposition of Cognitive Impairment after Stroke","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Stroke (engine); Cognitive impairment; Lesion; Cognition; Medicine; Psychology; Artificial intelligence; Computer science; Neuroscience; Pathology; Engineering","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":[0.0001466444,0.0001938479,0.0001653104,0.001168133,0.0001156662,0.0004072135,0.0001665271,0.0002311346,0.003242138],"category_scores_gemma":[0.0009295594,0.00008566237,0.0001535718,0.0005218511,0.0002515137,0.0003168704,0.0002807929,0.0002000171,0.0002948441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710403,"about_ca_system_score_gemma":0.0002076485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002203163,"about_ca_topic_score_gemma":0.00176582,"domain_scores_codex":[0.9999447,0.000008679482,0.000005240808,0.000009957625,0.00001438821,0.00001695603],"domain_scores_gemma":[0.9996519,0.0001073806,0.00007109485,0.00004807592,0.00007618902,0.00004535531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007220619,0.000284424,0.3191127,0.0002738558,0.0002354761,0.013212,0.001034668,0.01876312,0.2765107,0.009845895,0.002006221,0.3515003],"study_design_scores_gemma":[0.00006313636,0.0004363434,0.7820258,0.00004633194,0.0001708534,0.02316002,0.0007336051,0.1328695,0.04477132,0.01403694,0.001628588,0.00005775954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895216,0.00009234522,0.007852485,0.00004949464,0.000004802337,0.00001334376,0.000247776,0.00004678164,0.002171451],"genre_scores_gemma":[0.9987067,0.00003266076,0.0006507126,0.000004396455,0.000003380011,0.000002532185,0.00009993219,0.00001109685,0.0004885628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003242138,"threshold_uncertainty_score":0.01084602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926565917706844,"score_gpt":0.2912772979318559,"score_spread":0.2720116387547875,"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."}}