{"id":"W4367459366","doi":"10.1007/978-981-99-0026-8_5","title":"Understanding the Effect of Cohesion in Academic Writing Clarity Using Education Data Science","year":2023,"lang":"en","type":"book-chapter","venue":"Big data management","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"CLARITY; Cohesion (chemistry); Psychology; Mathematics education; Academic writing; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01378808,0.0003547943,0.0003744212,0.001474938,0.001776914,0.006986896,0.001346582,0.001065871,0.01224415],"category_scores_gemma":[0.1543177,0.0004840054,0.0004026159,0.001598128,0.00327485,0.009673409,0.004062163,0.004049956,0.001336597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016888,"about_ca_system_score_gemma":0.002069632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002273307,"about_ca_topic_score_gemma":0.002663622,"domain_scores_codex":[0.9905377,0.006131267,0.0002784912,0.0006317818,0.002016533,0.0004042418],"domain_scores_gemma":[0.668046,0.2997357,0.01463785,0.00632771,0.007669947,0.00358278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002051613,0.002705585,0.2574815,0.0009674688,0.0002815817,0.0006411897,0.2177299,0.006012069,0.0131204,0.1650227,0.01542442,0.3185616],"study_design_scores_gemma":[0.0005318469,0.001433842,0.5281968,0.001170938,0.0004790616,0.0004677473,0.1166268,0.03326515,0.02045237,0.2631697,0.03395303,0.0002527785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031543,0.0006201693,0.01357562,0.005034604,0.0001161938,0.00007566081,0.0001813877,0.0002208969,0.07702117],"genre_scores_gemma":[0.9943516,0.00009781319,0.002759072,0.0001718188,0.00003217153,0.00003573686,0.0000841428,0.0000857308,0.002381952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378808,"threshold_uncertainty_score":0.07291925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4406298978230996,"score_gpt":0.4056135241207931,"score_spread":0.03501637370230654,"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."}}