{"id":"W2089463269","doi":"10.4017/gt.2010.09.02.014.00","title":"SemAssist: Assistance and assessment tools for semantic memory rehabilitation","year":2010,"lang":"en","type":"article","venue":"Gerontechnology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université Laval; Université de Sherbrooke","funders":"","keywords":"Rehabilitation; Physical medicine and rehabilitation; Semantic memory; Computer science; Psychology; Human–computer interaction; Medicine; Neuroscience; Cognition","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":[0.002222699,0.001641377,0.0008989713,0.001656455,0.0003139147,0.001216093,0.001114346,0.00140946,0.06251388],"category_scores_gemma":[0.005432032,0.000372984,0.0005476818,0.0005894335,0.0003967191,0.002347412,0.001799823,0.0006824766,0.02794876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427396,"about_ca_system_score_gemma":0.0008541929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007002318,"about_ca_topic_score_gemma":0.001274009,"domain_scores_codex":[0.9994823,0.0001258842,0.00008180548,0.00009234746,0.0001733557,0.00004426698],"domain_scores_gemma":[0.9973355,0.001279866,0.0001144651,0.0002712937,0.0007498113,0.000249011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001860768,0.0002261542,0.005709438,0.0005978345,0.00005269978,0.0008332529,0.000369471,0.00103099,0.02430058,0.002661991,0.0861384,0.8762186],"study_design_scores_gemma":[0.001690412,0.002186224,0.05277161,0.001708917,0.000722546,0.02308411,0.0009701125,0.1210117,0.2236794,0.04303082,0.528404,0.0007402078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06841853,0.002171892,0.6131752,0.001985336,0.0008770851,0.001839399,0.01540714,0.252465,0.04366041],"genre_scores_gemma":[0.244485,0.001750675,0.6310521,0.002075528,0.0005711558,0.00229746,0.01259875,0.014835,0.09033427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06251388,"threshold_uncertainty_score":0.2091298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818419875988685,"score_gpt":0.3197684715488341,"score_spread":0.2915842727889472,"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."}}