{"id":"W3027973683","doi":"10.1080/02687038.2020.1763908","title":"Naming gains and within-intervention progression following semantic feature analysis (SFA) and phonological components analysis (PCA) in adults with chronic post-stroke aphasia","year":2020,"lang":"en","type":"article","venue":"Aphasiology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Centre for Research on Brain Language and Music; McGill University","funders":"Fonds de Recherche du Québec - Santé","keywords":"Aphasia; Psychology; Generalization; Context (archaeology); Semantic feature; Cognitive psychology; Stroke (engine); Psychological intervention; Intervention (counseling); Natural language processing; Computer science; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001973328,0.0002632542,0.0006858174,0.0004644241,0.000160838,0.00003733825,0.0002033539,0.0002289883,0.00001821556],"category_scores_gemma":[0.0002341852,0.0001876042,0.0002273238,0.001097413,0.000308787,0.0001285571,0.0001772161,0.000419114,0.00000279941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000232551,"about_ca_system_score_gemma":0.00001712184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007048809,"about_ca_topic_score_gemma":0.0007422081,"domain_scores_codex":[0.997663,0.0004631081,0.0003347336,0.0009992083,0.000145654,0.0003942541],"domain_scores_gemma":[0.9991967,0.0002299754,0.0002137488,0.0002031952,0.00002516441,0.000131218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008497235,0.0001645289,0.2768131,0.00008316522,0.0006454365,0.004724655,0.002506876,0.0001072174,0.710805,0.00001771839,0.000002628479,0.003280028],"study_design_scores_gemma":[0.0175692,0.01198072,0.7864106,0.000633036,0.007989488,0.002305983,0.003183736,0.07502436,0.09260012,0.0001300578,0.00009883902,0.002073842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974374,0.0007946476,0.0001955549,0.001080313,0.00006644542,0.000310601,0.0000226564,0.00007884661,0.00001359799],"genre_scores_gemma":[0.9985501,0.00007258363,0.0003111543,0.0009044489,0.00004130263,0.00001636324,0.00006841133,0.00001276887,0.00002284848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6182048,"threshold_uncertainty_score":0.7650278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043377522701798,"score_gpt":0.2930360688113465,"score_spread":0.2726022935843285,"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."}}