{"id":"W4400098544","doi":"10.5539/ijel.v14n4p45","title":"Conceptual Blending and Compound Figures of Speech","year":2024,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università di Pisa","keywords":"Speech recognition; Mathematics; Chemistry; Natural language processing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317349,0.0004959081,0.000425227,0.001548678,0.001174673,0.004440404,0.0006294277,0.001120007,0.007416337],"category_scores_gemma":[0.01146759,0.0003986504,0.0004205187,0.00151885,0.006050504,0.01564196,0.002582113,0.001548178,0.0003390467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203732,"about_ca_system_score_gemma":0.000537828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007651807,"about_ca_topic_score_gemma":0.0006737896,"domain_scores_codex":[0.9980299,0.0009292574,0.00008917387,0.0003938769,0.0004208937,0.0001368353],"domain_scores_gemma":[0.9934516,0.00429786,0.0008522433,0.0008257504,0.0004245524,0.0001479459],"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":[0.0001246782,0.00003603569,0.003677431,0.0001666013,0.00002286919,0.0005779155,0.03307367,0.001645079,0.005654645,0.9123726,0.0005216786,0.04212678],"study_design_scores_gemma":[0.00003651093,0.000119967,0.01010767,0.0001047065,0.00004462926,0.001545136,0.01580146,0.02503281,0.006503094,0.9186389,0.02200482,0.00006020944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6974055,0.001024477,0.2108761,0.001225139,0.0000742377,0.00009569645,0.0001621542,0.0003542534,0.08878245],"genre_scores_gemma":[0.9833747,0.00009679625,0.01477372,0.00002375168,0.00001261312,0.00001602852,0.00006841623,0.00004298471,0.001590894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007416337,"threshold_uncertainty_score":0.02481014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878801247626634,"score_gpt":0.3122275540463985,"score_spread":0.2734395415701321,"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."}}