{"id":"W4245158077","doi":"10.31219/osf.io/9zdy7","title":"ANALISIS WACANA KOHESI DAN KOHERENSI DALAM TEKS CERPEN, PROSEDUR, LINGKUNGAN, DAN KEMUNGKINAN PEMBELAJARAN DI SEKOLAH","year":2020,"lang":"id","type":"preprint","venue":"","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002181822,0.001979343,0.00225337,0.0006060879,0.0008683958,0.001778284,0.005905447,0.001215752,0.0001759185],"category_scores_gemma":[0.001644215,0.001888582,0.001097434,0.001938923,0.0005069237,0.0007927371,0.004351912,0.003624031,0.0002290215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000674826,"about_ca_system_score_gemma":0.00476899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663727,"about_ca_topic_score_gemma":0.0004795239,"domain_scores_codex":[0.9872704,0.001670852,0.002278984,0.004550816,0.002235958,0.001993043],"domain_scores_gemma":[0.989338,0.001272341,0.001434366,0.004337059,0.001323154,0.00229511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004242003,0.005985105,0.1759534,0.006568285,0.003730308,0.001173271,0.0756448,0.0009883114,0.03829365,0.3146729,0.04391856,0.3326472],"study_design_scores_gemma":[0.004177646,0.001965715,0.490833,0.003669753,0.001793892,0.000392607,0.010642,0.05922513,0.05892977,0.01301345,0.3451235,0.0102336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371621,0.004509819,0.1643726,0.08334691,0.03422527,0.01030375,0.0001792438,0.002565749,0.06333447],"genre_scores_gemma":[0.627344,0.001454385,0.3491518,0.005552797,0.005045534,0.0007284625,0.0005120438,0.0003754762,0.009835532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3224136,"threshold_uncertainty_score":0.9994731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06321688604453402,"score_gpt":0.32514893534513,"score_spread":0.261932049300596,"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."}}