{"id":"W4288751120","doi":"10.5539/ijel.v12n5p59","title":"Teaching Complex Sentences in ESL Reading: Structural Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jilin Office of Philosophy and Social Science","keywords":"Conceptualization; Reading (process); Test (biology); Second language; Cognition; Linguistics; Psychology; Empirical research; Mathematics education; Computer science; Artificial intelligence; Mathematics","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":[0.0008734872,0.0001170173,0.0002947222,0.001214193,0.000117315,0.0001423718,0.002064826,0.00002307114,0.00006859469],"category_scores_gemma":[0.01416541,0.0001158593,0.0002294135,0.0006773553,0.0000342618,0.0001979474,0.0005061664,0.0006134139,3.769223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272286,"about_ca_system_score_gemma":0.00007199173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007674847,"about_ca_topic_score_gemma":0.00002663289,"domain_scores_codex":[0.9977891,0.0001617724,0.0006986082,0.0001959564,0.0009912717,0.0001632967],"domain_scores_gemma":[0.9938432,0.0002476366,0.0006707472,0.0002115661,0.004963546,0.00006329922],"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":[0.0001228825,0.0004490036,0.1517314,0.00001087149,0.003199253,0.001367753,0.01173104,0.2467072,0.0002796266,0.5596741,0.007231444,0.0174955],"study_design_scores_gemma":[0.001277408,0.0003507677,0.01719925,0.00004291119,0.0003927496,0.0000474868,0.002269579,0.4336322,0.0004346795,0.09084899,0.4527617,0.0007422871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09787002,0.0003253877,0.8301274,0.0006804669,0.02395164,0.0002086995,0.00006431933,0.0003264433,0.04644566],"genre_scores_gemma":[0.9059645,0.000007053518,0.0921845,0.0001919972,0.001581166,0.000001658825,0.000009441515,0.000006220385,0.00005347468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8080944,"threshold_uncertainty_score":0.9941387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909391879917614,"score_gpt":0.3283958040768896,"score_spread":0.3093018852777134,"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."}}