{"id":"W4289774258","doi":"10.31227/osf.io/9srtx","title":"HUBUNGAN PENGUASAAN PIRANTI KOHESI DAN KOHERENSI DENGAN KEMAMPUAN MENGANALISIS WACANA","year":2018,"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; Physics; Philosophy","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004816093,0.00163957,0.001804865,0.0007841484,0.001008213,0.001405203,0.005644189,0.001133732,0.0009755628],"category_scores_gemma":[0.001566423,0.001546176,0.0009294793,0.001250275,0.0007477351,0.0006750598,0.003349624,0.002484847,0.000995178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070841,"about_ca_system_score_gemma":0.003605865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002275407,"about_ca_topic_score_gemma":0.00162964,"domain_scores_codex":[0.9881327,0.002319507,0.001939586,0.003612599,0.002081902,0.001913691],"domain_scores_gemma":[0.9886928,0.001737032,0.001148378,0.004920323,0.001725293,0.001776155],"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":[0.0001990927,0.004490477,0.02624007,0.002912219,0.003790788,0.0005352392,0.07346223,0.0001514941,0.01291037,0.3224715,0.135004,0.4178324],"study_design_scores_gemma":[0.004058811,0.002123067,0.1372136,0.003312244,0.001975412,0.0005784623,0.0120317,0.01821397,0.09659266,0.04944669,0.6629559,0.01149738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7487479,0.002246942,0.130085,0.01659199,0.03475268,0.003978858,0.00009289409,0.001210781,0.0622929],"genre_scores_gemma":[0.3143344,0.001026057,0.6528577,0.004722411,0.006730363,0.0002595099,0.0002144521,0.0002587278,0.01959634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5279519,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06497525330570898,"score_gpt":0.3370096444921746,"score_spread":0.2720343911864657,"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."}}