{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112505,0.0007893961,0.0007257468,0.0009604677,0.002380039,0.003534764,0.0005412243,0.0009565892,0.06836234],"category_scores_gemma":[0.002040901,0.000339306,0.0003898353,0.0007004727,0.0007428281,0.002618828,0.001899474,0.001839974,0.03376602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007992016,"about_ca_system_score_gemma":0.002017443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022819,"about_ca_topic_score_gemma":0.001973751,"domain_scores_codex":[0.9994734,0.00009950507,0.00004749981,0.0001366424,0.0001714231,0.0000715217],"domain_scores_gemma":[0.9993062,0.00015606,0.00006328744,0.00003874961,0.0002676721,0.0001680305],"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":[0.0007148029,0.0006917866,0.01045213,0.002690236,0.000056882,0.003685613,0.01831979,0.001003832,0.0116879,0.03009306,0.3120211,0.6085829],"study_design_scores_gemma":[0.0000261403,0.0002688523,0.01065372,0.0007845569,0.00003741027,0.003578362,0.007644931,0.0008320655,0.005618021,0.003786792,0.9666967,0.00007242666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2162484,0.1007387,0.01194239,0.03534795,0.01682201,0.0006231221,0.001969368,0.001851826,0.6144564],"genre_scores_gemma":[0.4603364,0.04387658,0.01262819,0.003145193,0.00232507,0.00027439,0.0008274523,0.0006075241,0.4759791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06836234,"threshold_uncertainty_score":0.2286948,"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."}}