{"id":"W2130084256","doi":"10.3968/j.ccc.1923670020100603.004","title":"Generic Structure of Research Article Abstracts","year":2010,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swale; Key (lock); Macro; Linguistics; Computer science; Sociology; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01895134,0.0006137161,0.0006039925,0.01183558,0.003926356,0.007093029,0.001439346,0.001334951,0.007304417],"category_scores_gemma":[0.08358254,0.0005286779,0.0006550489,0.01030208,0.004650109,0.007667895,0.005563093,0.001471246,0.001818248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004835982,"about_ca_system_score_gemma":0.004398033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383853,"about_ca_topic_score_gemma":0.001525823,"domain_scores_codex":[0.9724787,0.01394441,0.004865537,0.00247117,0.005463013,0.0007771637],"domain_scores_gemma":[0.9037297,0.04991078,0.01846488,0.009808431,0.01539646,0.002689772],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006467684,0.000192913,0.02406335,0.004219012,0.0001381155,0.001311194,0.3508679,0.001375689,0.0264691,0.3141032,0.007217693,0.2693951],"study_design_scores_gemma":[0.0002074252,0.0007149195,0.1474205,0.002751285,0.0003062052,0.003292549,0.1612594,0.009701775,0.01355116,0.2073131,0.4530413,0.0004403761],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450849,0.004664154,0.2336555,0.004420626,0.0006184757,0.003184058,0.003779504,0.001658741,0.2029341],"genre_scores_gemma":[0.9126514,0.0008561436,0.07047255,0.0002292749,0.000290704,0.001480095,0.00229937,0.0003829908,0.01133743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9810486,"threshold_uncertainty_score":0.1002254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06822123253068675,"score_gpt":0.4023370056398551,"score_spread":0.3341157731091683,"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."}}