{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015288,0.001312762,0.001354066,0.001667454,0.001090429,0.003024141,0.001533824,0.001653015,0.003995161],"category_scores_gemma":[0.00446258,0.0005925484,0.001277609,0.001771592,0.0006892604,0.002133485,0.0009938268,0.001567992,0.001560394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363569,"about_ca_system_score_gemma":0.0028573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130341,"about_ca_topic_score_gemma":0.01137154,"domain_scores_codex":[0.998737,0.0003156956,0.00009007368,0.0003255637,0.0004016861,0.0001299312],"domain_scores_gemma":[0.9983066,0.0008109489,0.0001864358,0.0001405142,0.0004884134,0.00006696454],"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":[0.0002717299,0.0002701979,0.009260165,0.000867825,0.0004225518,0.000273362,0.0007857358,0.429464,0.01066412,0.01702751,0.007128829,0.523564],"study_design_scores_gemma":[0.00003718655,0.0001848183,0.003754647,0.0001326147,0.0001431008,0.000178309,0.0005328447,0.9461805,0.01070753,0.02488797,0.01317242,0.00008811653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05608412,0.001477958,0.9284375,0.0007201842,0.0001618976,0.0002338538,0.0003010154,0.001740032,0.01084339],"genre_scores_gemma":[0.4715193,0.001763336,0.5047344,0.0003069451,0.00008242897,0.0005034322,0.0007688327,0.0004493835,0.01987206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01130341,"threshold_uncertainty_score":0.02247524,"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."}}