{"id":"W4407105105","doi":"10.1075/ml.00027.buc","title":"Gary Libben’s Mental Lexicon","year":2024,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Windsor","funders":"","keywords":"Mental lexicon; Lexicon; Computer science; Natural language processing; Linguistics; Artificial intelligence; Philosophy","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":[0.0007788133,0.0006563513,0.0005155799,0.002562099,0.002095086,0.005648469,0.0006939304,0.001692046,0.009624385],"category_scores_gemma":[0.004410762,0.0003934122,0.0005760476,0.001544463,0.007710142,0.009201794,0.002169956,0.002997187,0.003027244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002120878,"about_ca_system_score_gemma":0.001547087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846939,"about_ca_topic_score_gemma":0.006867634,"domain_scores_codex":[0.9990984,0.0004004813,0.00005832992,0.0002202087,0.0001490911,0.0000734414],"domain_scores_gemma":[0.9990283,0.0005250206,0.00004107259,0.000149017,0.0001973461,0.00005925156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009937341,0.000004083901,0.0001014994,0.00002500369,0.000004460266,0.00003734884,0.0004986844,0.0001433557,0.000103088,0.973864,0.01319344,0.01201512],"study_design_scores_gemma":[0.000006008467,0.000002973204,0.0001429116,0.00003516125,0.000004050316,0.00009556927,0.00009838879,0.0004448289,0.0001402753,0.9073481,0.09166948,0.00001230372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01231628,0.02132419,0.1321818,0.07958047,0.003867892,0.00004461762,0.0006678734,0.0006041386,0.7494127],"genre_scores_gemma":[0.695631,0.01595327,0.09162136,0.01371981,0.005690177,0.0002530577,0.0008877688,0.0007952088,0.1754483],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009624385,"threshold_uncertainty_score":0.03219682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300125192068119,"score_gpt":0.3084058410768827,"score_spread":0.2854045891562015,"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."}}