{"id":"W4411846913","doi":"10.5430/elr.v14n2p1","title":"Recognizing Lexical Units in Portuguese","year":2025,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portuguese; Linguistics; Natural language processing; Computer science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002704796,0.0001154075,0.0001667885,0.0008864971,0.0001433267,0.000265691,0.0015524,0.0001566453,0.000007111898],"category_scores_gemma":[0.1331511,0.0001133444,0.00002310529,0.003740357,0.0001167452,0.0000947352,0.0009835153,0.001323734,0.00001189236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656626,"about_ca_system_score_gemma":0.0005327758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000926611,"about_ca_topic_score_gemma":0.00004480039,"domain_scores_codex":[0.9978196,0.0002647112,0.0002928297,0.0004681411,0.0005802166,0.0005744898],"domain_scores_gemma":[0.9925991,0.0008840439,0.00003188542,0.0006225299,0.005764258,0.0000981347],"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":[0.00001409323,0.00009078307,0.00121975,0.0001174314,0.000007797263,0.0002689826,0.001278261,0.000004177163,0.00008621153,0.9177192,0.0278006,0.0513927],"study_design_scores_gemma":[0.0007128459,0.0001418005,0.0006561221,0.001138936,0.00000463245,0.0000019545,0.0004069945,0.01768826,0.02377059,0.6833652,0.2715442,0.0005684455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005841854,0.02292387,0.272625,0.001235404,0.01012517,0.001402585,0.00001445677,0.003646914,0.6821848],"genre_scores_gemma":[0.7431396,0.0001103291,0.2531795,0.0001821784,0.0009731483,0.00003589099,0.000008115632,0.0000164858,0.002354697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7372978,"threshold_uncertainty_score":0.8741508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07688290686691437,"score_gpt":0.4043280961714222,"score_spread":0.3274451893045078,"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."}}