{"id":"W1969025880","doi":"10.5539/ijel.v3n2p72","title":"Correlation of Speech Acts and Language Functions in Top Notch Series vs. ILI Textbooks from a Pragmatic Point of View","year":2013,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Context (archaeology); Linguistics; Computer science; Speech act; Psychology; Mathematics; Philosophy; History","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":[0.004505597,0.0002745609,0.0005268641,0.004422569,0.001232744,0.003844824,0.0005400093,0.0006297769,0.003027786],"category_scores_gemma":[0.04656338,0.0002687917,0.0002010304,0.003019789,0.002280312,0.002427098,0.002486433,0.001049648,0.0005257725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092751,"about_ca_system_score_gemma":0.0011036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287384,"about_ca_topic_score_gemma":0.003364665,"domain_scores_codex":[0.9923964,0.003697861,0.0007520645,0.0005814442,0.002080092,0.0004920705],"domain_scores_gemma":[0.960597,0.02375521,0.006670278,0.001121115,0.006096051,0.001760372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003788846,0.0001916055,0.5729005,0.0004149036,0.00004527497,0.001001759,0.3819576,0.000147217,0.004182656,0.004393445,0.0005047669,0.03388143],"study_design_scores_gemma":[0.000009345457,0.0002175987,0.5708781,0.0001427733,0.00004192712,0.0006333894,0.4192774,0.0004640132,0.001873528,0.0008286319,0.005590839,0.00004249467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945869,0.0002118823,0.0003847892,0.0000947993,0.00001238862,0.00002750769,0.00005765478,0.00000830836,0.004615683],"genre_scores_gemma":[0.9989471,0.0001041779,0.0002497178,0.00002662727,0.00000908639,0.00002249988,0.00007036087,0.000007751216,0.0005628247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004505597,"threshold_uncertainty_score":0.02382815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00988880483419515,"score_gpt":0.2360546161904594,"score_spread":0.2261658113562643,"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."}}