{"id":"W4388768844","doi":"10.54563/lexique.682","title":"Graded morphological processing in French","year":2022,"lang":"en","type":"article","venue":"Lexique","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mental lexicon; Lexicon; Priming (agriculture); Linguistics; Similarity (geometry); Morphology (biology); Lexical decision task; Natural language processing; Psychology; Semantic memory; Artificial intelligence; Computer science; Cognition; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601501,0.00007379989,0.0000990129,0.00007120683,0.0001380506,0.0000129595,0.0002437607,0.00003681827,0.0003544916],"category_scores_gemma":[0.0001616656,0.000063155,0.00002831529,0.0002679591,0.0000760218,0.00004536997,0.0001405089,0.0003935726,0.00001431253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002594956,"about_ca_system_score_gemma":0.00003236236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005190518,"about_ca_topic_score_gemma":0.0000148866,"domain_scores_codex":[0.9989929,0.0002504563,0.0001290278,0.0003164598,0.0001031558,0.0002079867],"domain_scores_gemma":[0.9997467,0.0000644815,0.00004106657,0.0001182606,0.000003947567,0.00002550112],"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":[0.00001455485,0.0001422757,0.001494534,0.000005089182,2.23306e-7,0.00762329,0.001127964,0.00009121803,0.9867689,0.0003623738,0.000402843,0.001966738],"study_design_scores_gemma":[0.00236442,0.0010413,0.01162244,0.00002881377,0.000009172166,0.01484981,0.0008250261,0.0009339077,0.8848243,0.04271968,0.03971225,0.001068864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969121,0.00005441593,0.000009581808,0.001077516,0.0001036097,0.0001125689,0.000004151193,0.00008285589,0.001643167],"genre_scores_gemma":[0.9922287,0.000002905107,0.00008205337,0.006627418,0.00003974688,0.000047555,0.000002417014,0.000006903381,0.0009622573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019446,"threshold_uncertainty_score":0.3881435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04951871243686004,"score_gpt":0.2989384851965893,"score_spread":0.2494197727597293,"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."}}