{"id":"W4407220562","doi":"10.1075/ml.00026.ted","title":"Words in the World","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Brock University","funders":"","keywords":"Natural language processing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725697,0.0003345566,0.0002437805,0.001654903,0.001241419,0.007577199,0.0004125749,0.0008122436,0.01830534],"category_scores_gemma":[0.002606509,0.0002050741,0.000196992,0.002690399,0.004016042,0.006295871,0.001587007,0.001302059,0.003575176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091777,"about_ca_system_score_gemma":0.001288964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00500252,"about_ca_topic_score_gemma":0.005632049,"domain_scores_codex":[0.9994622,0.0002096036,0.00003623189,0.0001394389,0.0001129295,0.00003955571],"domain_scores_gemma":[0.999512,0.0001710623,0.0000480635,0.0001277105,0.00009104017,0.00005021367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000150721,0.000006219122,0.0007250049,0.00004279142,0.00001017485,0.00005912379,0.002801043,0.0001743797,0.0005168486,0.9558432,0.01317939,0.02662667],"study_design_scores_gemma":[0.000007578484,0.000009633551,0.002338078,0.0001069313,0.00002093553,0.0002863212,0.003749821,0.000495739,0.0004242769,0.6113181,0.3812203,0.00002228022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04029528,0.006753837,0.03743721,0.01120636,0.00112052,0.00004706642,0.002960985,0.0004764528,0.8997023],"genre_scores_gemma":[0.9068084,0.004362317,0.01262312,0.001812823,0.0004841412,0.00007776554,0.002802461,0.0003280415,0.07070094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01830534,"threshold_uncertainty_score":0.06123745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518702258329226,"score_gpt":0.2705603253094406,"score_spread":0.2353733027261484,"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."}}