{"id":"W2110838412","doi":"10.1080/01690960701799635","title":"Decomposition into multiple morphemes during lexical access: A masked priming study of Russian nouns","year":2008,"lang":"en","type":"article","venue":"Language and Cognitive Processes","topic":"Reading and Literacy Development","field":"Psychology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Linguistic Association","funders":"","keywords":"Morpheme; Lexical decision task; Suffix; Priming (agriculture); Noun; Linguistics; Prime (order theory); Psychology; Natural language processing; Artificial intelligence; Word formation; Computer science; Mathematics; Biology; Philosophy; Cognition; Combinatorics","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":[0.00005836151,0.0001379741,0.0002039228,0.000111354,0.0001917914,0.00003348804,0.00009731551,0.00004641651,0.0001224643],"category_scores_gemma":[0.00009508806,0.0001188751,0.00002083835,0.0002015356,0.00006357075,0.0001962891,0.000063901,0.00009830637,0.00001032178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009294082,"about_ca_system_score_gemma":0.00003155147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563423,"about_ca_topic_score_gemma":0.0001127739,"domain_scores_codex":[0.9991009,0.00005644282,0.0002350954,0.0002967185,0.0001326035,0.0001782233],"domain_scores_gemma":[0.999493,0.0001674749,0.0001037618,0.00008456982,0.00009392905,0.00005725308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005701768,0.001496328,0.442039,0.0004553528,0.0002540776,0.0005811523,0.5393736,5.330601e-7,0.002196193,0.00002289456,0.00001558596,0.0129951],"study_design_scores_gemma":[0.003413858,0.0003889038,0.8484551,0.0003727262,0.00009787312,0.0002533215,0.1175343,0.000008238749,0.02903883,0.00007890813,0.00002482979,0.0003331038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960618,0.001063921,0.0003349851,0.0000206544,0.00004395629,0.0002991958,0.000006954415,0.00005399095,0.002114523],"genre_scores_gemma":[0.9991352,0.00003140683,0.0002108123,0.00006660166,0.00006140138,0.0001153321,0.00002375577,0.00001509579,0.0003404105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4218394,"threshold_uncertainty_score":0.4847585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449621300724866,"score_gpt":0.3489667025491505,"score_spread":0.3244704895419019,"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."}}