{"id":"W74984395","doi":"","title":"Exploring semantic memory organization using a proactive interference paradigm","year":2013,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Semantic memory; Categorical variable; Cognitive psychology; Recall; Perception; Cued speech; Interference theory; Cognition; Working memory; Computer science; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008470083,0.0007340169,0.0004278524,0.0008168248,0.0003264233,0.0005124095,0.0007679317,0.0005342015,0.00122105],"category_scores_gemma":[0.002338894,0.0003311507,0.0003084451,0.000343532,0.0005947551,0.0008626353,0.001338185,0.00103667,0.0001727873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002381665,"about_ca_system_score_gemma":0.0002869728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003542727,"about_ca_topic_score_gemma":0.0005167419,"domain_scores_codex":[0.9994611,0.0000889664,0.00006348061,0.000138815,0.0001897237,0.0000578821],"domain_scores_gemma":[0.9983504,0.0007297047,0.0003447708,0.0002632425,0.0001860651,0.0001259316],"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":[0.00195361,0.000800114,0.007147615,0.0002126968,0.00006541351,0.0003269425,0.001134415,0.0002355157,0.9586369,0.0008425017,0.0001350268,0.02850934],"study_design_scores_gemma":[0.0007639377,0.01922527,0.2939896,0.00007495627,0.000427473,0.003386628,0.001308588,0.01088629,0.6559505,0.009656004,0.004182988,0.0001475645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820399,0.0002812122,0.01503641,0.00008110343,0.00003445403,0.0001363678,0.0001386092,0.0001049101,0.002147118],"genre_scores_gemma":[0.9849992,0.0001826478,0.01339344,0.0001590104,0.00004407264,0.0002804166,0.0002367807,0.00003341499,0.000671096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00122105,"threshold_uncertainty_score":0.004479468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226281823259956,"score_gpt":0.3096394314922962,"score_spread":0.1870112491663006,"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."}}