{"id":"W2055716344","doi":"10.1080/13554790903329117","title":"Generalization of the effects of phonological training for anomia using structural equation modelling: A multiple single-case study","year":2009,"lang":"en","type":"article","venue":"Neurocase","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Generalization; Psychology; Structural equation modeling; Cognitive psychology; Neurophysiology; Cognition; Audiology; Neuroscience; Developmental psychology; Computer science; Machine learning; Mathematics; Medicine","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":[0.00009077146,0.0001258417,0.0001952139,0.00006145883,0.0001499231,0.00001199749,0.0001489031,0.00005980409,0.000001329723],"category_scores_gemma":[0.001215952,0.00008759769,0.00008919286,0.0001902122,0.00008037604,0.00008187676,0.00003137262,0.00009184849,9.163833e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001082289,"about_ca_system_score_gemma":0.00002422025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002290348,"about_ca_topic_score_gemma":0.000006612143,"domain_scores_codex":[0.9988859,0.0002173607,0.0003039935,0.0003091256,0.0001130976,0.0001705263],"domain_scores_gemma":[0.9989293,0.0005332207,0.000241816,0.0002220653,0.00004562231,0.00002801512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000080278,0.0001629251,0.0002156566,0.00002064881,0.000002036453,0.0005126415,0.003123946,0.01442301,0.9800783,0.00003073772,7.97262e-7,0.00134905],"study_design_scores_gemma":[0.00123084,0.001264259,0.00008210882,0.00001493933,0.00004441902,0.001614676,0.0003205625,0.2576438,0.7374367,0.000247719,0.000002209998,0.00009781682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898466,0.00001523045,0.008952358,0.00002566038,0.0002813016,0.0008393175,0.000007991438,0.00002791079,0.000003574328],"genre_scores_gemma":[0.9984449,6.849694e-7,0.001122378,0.0003533608,0.00005829308,0.000005049598,0.000001331672,0.000009787314,0.00000417422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2432208,"threshold_uncertainty_score":0.357213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2304477075103062,"score_gpt":0.3261218817134199,"score_spread":0.09567417420311372,"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."}}