{"id":"W2909881582","doi":"10.24843/mite.2018.v17i03.p16","title":"Genetic K-Means Algorithms, ASSU Analisis Peningkatan Kompetensi Mahasiswa Menggunakan Model Pembelajaran ASSURE berbasis Project-Based Learning","year":2018,"lang":"id","type":"article","venue":"Majalah Ilmiah Teknologi Elektro","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Computer science; Humanities; Mathematics; 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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001867217,0.001592796,0.001517715,0.001203232,0.002665499,0.001503268,0.004503545,0.001021454,0.0001973583],"category_scores_gemma":[0.001120672,0.001641585,0.0006237683,0.003134869,0.001154048,0.0008003049,0.0014471,0.003081711,0.001480007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407727,"about_ca_system_score_gemma":0.001525547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220148,"about_ca_topic_score_gemma":0.0003391497,"domain_scores_codex":[0.9889699,0.001308551,0.001638218,0.003682748,0.001602232,0.002798318],"domain_scores_gemma":[0.9924869,0.000561462,0.001259696,0.003877405,0.001172238,0.0006423079],"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":[0.0005169307,0.003252673,0.1039844,0.00066454,0.002465841,0.0008402856,0.01272519,0.09275869,0.01006412,0.006665347,0.2954682,0.4705938],"study_design_scores_gemma":[0.00181305,0.001763085,0.01839594,0.0002173268,0.0005367844,0.0001663146,0.0004589495,0.8552983,0.001063244,0.0001484323,0.1183269,0.001811748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1328756,0.001946071,0.8327864,0.009593986,0.001609993,0.002461914,0.0005874595,0.004436653,0.01370188],"genre_scores_gemma":[0.6985993,0.0001798046,0.2894581,0.001146993,0.0008999249,0.0003376729,0.000405244,0.0002477659,0.008725181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7625396,"threshold_uncertainty_score":0.999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416811254329771,"score_gpt":0.285613734617076,"score_spread":0.2614456220737782,"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."}}