{"id":"W2150181572","doi":"10.1080/13554790490900770","title":"Knowing Its Gender Without Knowing Its Name: Differential Access to Lexical Information in a Jargonaphasic Patient","year":2004,"lang":"en","type":"article","venue":"Neurocase","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Lemma (botany); Computer science; Contrast (vision); Linguistics; Syntax; Meaning (existential); Lexical access; Comprehension; Word (group theory); Psychology; Natural language processing; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008011949,0.0002659006,0.0002483184,0.0003207913,0.0001821189,0.0001892334,0.0004146726,0.0001125299,0.00006804094],"category_scores_gemma":[0.0008657913,0.0002397073,0.0000900079,0.0004390213,0.00004299353,0.001154681,0.0003228567,0.0004139114,0.0003010454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006061789,"about_ca_system_score_gemma":0.00008183901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002280705,"about_ca_topic_score_gemma":0.00001907679,"domain_scores_codex":[0.9980052,0.0001564734,0.0004666834,0.0005167193,0.0003221186,0.0005328053],"domain_scores_gemma":[0.9992754,0.0001106782,0.0001049696,0.0002628177,0.00004739462,0.0001987229],"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":[0.00043396,0.0005740459,0.0005951895,0.0001120991,0.00000687527,0.004732871,0.009426381,0.002718337,0.9592462,0.0003886723,0.0001302502,0.02163508],"study_design_scores_gemma":[0.003173013,0.000638997,0.003604805,0.0001313677,0.00002468439,0.001740256,0.0001851508,0.000628641,0.9827484,0.0001653931,0.006215793,0.0007434586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968995,0.00003243734,0.0002589234,0.0005175152,0.0007789308,0.0006338377,0.00002080556,0.00013682,0.0007212175],"genre_scores_gemma":[0.9903522,0.00001119196,0.00003833277,0.009373688,0.0001186978,0.00004395122,0.000007673282,0.0000230576,0.00003127941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0235022,"threshold_uncertainty_score":0.9774979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568539824716718,"score_gpt":0.3222127069785796,"score_spread":0.2665273087314124,"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."}}