{"id":"W1980177109","doi":"10.2298/psi1304479h","title":"Semantic growth of morphological families in English","year":2013,"lang":"en","type":"article","venue":"Psihologija","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morpheme; Mental lexicon; Lexicon; Vocabulary; Psychology; Linguistics; Semantic change; Cognitive psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001520098,0.0001230273,0.0002354365,0.0001225319,0.00002890923,0.00001157999,0.0003475304,0.0001239983,0.0003182817],"category_scores_gemma":[0.002435763,0.00008888452,0.00005737289,0.0002359294,0.000368439,0.0001060169,0.0001231225,0.0002138745,0.0001538613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007545728,"about_ca_system_score_gemma":0.00001040324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001553171,"about_ca_topic_score_gemma":0.000007539567,"domain_scores_codex":[0.9987769,0.0001873931,0.0002684439,0.0003702501,0.0001003271,0.0002967479],"domain_scores_gemma":[0.99919,0.0004233102,0.00007865761,0.0002216989,0.00004787701,0.00003839811],"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":[0.00001093276,0.0001529865,0.02529301,0.00001504154,0.000001220628,0.001264478,0.000767401,0.000002223329,0.9709813,0.0003609446,0.0005298562,0.0006205821],"study_design_scores_gemma":[0.0007053384,0.0003630453,0.04761624,0.00002045621,0.00000674399,0.0005548442,0.0005879672,0.00004202854,0.9438684,0.005765899,0.0001825888,0.0002864629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934801,0.00004339797,0.000005969133,0.0002858914,0.0002596116,0.0002055454,0.000004555805,0.0001086948,0.005606249],"genre_scores_gemma":[0.9980336,0.00005925318,0.000161362,0.001507583,0.00005030246,0.00002032353,0.000001501455,0.000007530221,0.0001585491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02711294,"threshold_uncertainty_score":0.3624606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647429940488007,"score_gpt":0.2599455597106581,"score_spread":0.233471260305778,"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."}}