{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766876,0.0005615855,0.0003873351,0.002166926,0.001412215,0.004396676,0.0005712297,0.0005853776,0.02449067],"category_scores_gemma":[0.01104988,0.0002924186,0.0004734581,0.002497272,0.001088011,0.003909172,0.001594893,0.001281856,0.004620275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001152804,"about_ca_system_score_gemma":0.001769762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005763801,"about_ca_topic_score_gemma":0.009335512,"domain_scores_codex":[0.9985901,0.0002953545,0.0001328664,0.0002676364,0.0005773916,0.0001367031],"domain_scores_gemma":[0.9919387,0.004465269,0.0005996116,0.0006589193,0.002048719,0.0002886933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001933656,0.0007096621,0.2340888,0.004521663,0.0004655112,0.00284449,0.06645831,0.001902124,0.0315423,0.03777349,0.02126743,0.5964926],"study_design_scores_gemma":[0.00007322961,0.0007940214,0.4284448,0.001780416,0.001125455,0.004897447,0.1453417,0.007436241,0.04884269,0.04421794,0.3167301,0.0003158727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83259,0.004210521,0.01967808,0.00131443,0.0003319276,0.0003196114,0.003584762,0.0007240174,0.1372466],"genre_scores_gemma":[0.9438864,0.002030003,0.01582508,0.0002074077,0.00005022718,0.0001489234,0.001493533,0.0003357171,0.03602268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02449067,"threshold_uncertainty_score":0.0819295,"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."}}