{"id":"W3013665147","doi":"","title":"JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI NILAI KELULUSAN SIDANG (STUDI KASUS : STMIK KAPUTAMA BINJAI )","year":2019,"lang":"ms","type":"article","venue":"","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Graduation (instrument); Software; Artificial neural network; Session (web analytics); Statistics; Machine learning; Mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001253882,0.0007737407,0.0008153736,0.0004021504,0.0007433299,0.001181103,0.003356192,0.0003473976,0.0008567368],"category_scores_gemma":[0.0001985144,0.0007416682,0.0002901256,0.001553325,0.0002099074,0.0009418409,0.002374229,0.001215003,0.01153401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832371,"about_ca_system_score_gemma":0.0003842975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017175,"about_ca_topic_score_gemma":0.0001519446,"domain_scores_codex":[0.994276,0.0003105533,0.0009283503,0.002127555,0.0009751737,0.001382316],"domain_scores_gemma":[0.9946923,0.0004929408,0.0004669578,0.003511575,0.0002576461,0.000578575],"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":[0.0001397807,0.002353174,0.06666824,0.0006668729,0.001067879,0.0001291716,0.01377421,0.006341501,0.0133902,0.3230903,0.1400763,0.4323024],"study_design_scores_gemma":[0.003149352,0.001482756,0.04452659,0.0004807127,0.000285472,0.0001491209,0.001391227,0.3426294,0.002610564,0.001446919,0.598942,0.00290588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5469078,0.001443889,0.1447328,0.01555598,0.006837263,0.002655498,0.0002247362,0.003491989,0.27815],"genre_scores_gemma":[0.9163967,0.00008307278,0.01403962,0.001288558,0.0005066284,0.00007123073,0.0001250886,0.00009968421,0.06738942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4588656,"threshold_uncertainty_score":0.9998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005362795913257296,"score_gpt":0.2239698196112107,"score_spread":0.2186070236979534,"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."}}