{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919242,0.000280741,0.0001859885,0.0005037551,0.0004083188,0.001309803,0.0001676556,0.0004060786,0.003857781],"category_scores_gemma":[0.001673015,0.0001237884,0.0002026624,0.0002077781,0.0009163674,0.0007367339,0.0005313349,0.0003903193,0.0003042789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616932,"about_ca_system_score_gemma":0.0004713134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03520743,"about_ca_topic_score_gemma":0.03635189,"domain_scores_codex":[0.9997726,0.0000458478,0.0000105066,0.00007457227,0.00005088259,0.00004563962],"domain_scores_gemma":[0.9992177,0.0002636366,0.0001600859,0.00009396981,0.000196383,0.00006816581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004849294,0.0001084181,0.05367437,0.0002503046,0.00005252022,0.001461749,0.006158245,0.002019957,0.8469326,0.02058834,0.0007605169,0.06750805],"study_design_scores_gemma":[0.00004161958,0.000409488,0.9086774,0.00006617365,0.00005842518,0.001920659,0.003779335,0.007367337,0.0497383,0.01816125,0.009664442,0.0001155536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877872,0.00009627954,0.002820581,0.0001143442,0.000006677511,0.00001089215,0.00007589893,0.00006877253,0.00901934],"genre_scores_gemma":[0.9975331,0.00003415794,0.001520082,0.00004592922,0.000002209051,0.000005009583,0.00005157184,0.00001579582,0.000792151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03520743,"threshold_uncertainty_score":0.070005,"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."}}