{"id":"W2939518987","doi":"10.5539/ijel.v9n3p188","title":"Depictives: An LFG Approach","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adjective; Predicate (mathematical logic); Noun; Linguistics; Computer science; Arabic; Natural language processing; Grammar; Part of speech; Artificial intelligence; Modern Standard Arabic; Philosophy; Programming language","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003041629,0.0001555877,0.0002709451,0.0001982715,0.00006536771,0.0003442571,0.000661184,0.0000508796,0.001348703],"category_scores_gemma":[0.02476074,0.0001182447,0.0001984181,0.00003353905,0.0000990733,0.0001486642,0.00005934729,0.0003077635,0.00004808878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009391746,"about_ca_system_score_gemma":0.00005839633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005965653,"about_ca_topic_score_gemma":0.00004080857,"domain_scores_codex":[0.9984174,0.00004839684,0.0005673659,0.0001606732,0.0006455142,0.0001606419],"domain_scores_gemma":[0.971763,0.00010644,0.00047098,0.000161309,0.0273889,0.0001093728],"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":[0.0001493593,0.0005876722,0.003750672,0.00003417461,0.001052404,0.0000970573,0.0604096,0.001683162,0.00001970896,0.9242226,0.007278019,0.0007155438],"study_design_scores_gemma":[0.0007683521,0.0002086105,0.0002273974,0.00005305648,0.0001604419,0.000004495643,0.01684565,0.001093838,0.00007329795,0.00617002,0.9741173,0.0002775711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07459305,0.0001956101,0.0004747301,0.00002158184,0.04702144,0.0001035925,0.00009645855,0.00006446946,0.8774291],"genre_scores_gemma":[0.9361972,0.00001569138,0.002171714,0.0002286772,0.05878931,7.800357e-7,0.0000479761,0.00002172394,0.002526933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668393,"threshold_uncertainty_score":0.9995642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040323391263322,"score_gpt":0.2567971836628824,"score_spread":0.2363939497502492,"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."}}