{"id":"W2787356029","doi":"10.20473/ijph.v12i2.2017.213-223","title":"APLIKASI PERAMALAN JUMLAH KELAHIRAN DENGAN METODE JARINGAN SYARAF TIRUAN","year":2018,"lang":"en","type":"article","venue":"The Indonesian Journal of Public Health","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Artificial neural network; Statistic; Statistics; Preprocessor; Computer science; Data pre-processing; Artificial intelligence; 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":[0.0007005218,0.0005268694,0.0004183875,0.0008018471,0.0005678464,0.001313883,0.0004876086,0.0005191413,0.01456106],"category_scores_gemma":[0.001161859,0.0001804002,0.0003950905,0.0008345434,0.0003243759,0.001044192,0.000509388,0.0005976016,0.002218017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645558,"about_ca_system_score_gemma":0.001000046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005657421,"about_ca_topic_score_gemma":0.009144088,"domain_scores_codex":[0.9996732,0.00006836958,0.00003317893,0.00007066806,0.0001161346,0.00003843739],"domain_scores_gemma":[0.9996936,0.0001063002,0.00004218734,0.0000226729,0.0001189255,0.00001626371],"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":[0.0006268364,0.0002836545,0.05390793,0.001760017,0.0001896502,0.001265339,0.001959818,0.01855266,0.02327324,0.01341702,0.01689636,0.8678675],"study_design_scores_gemma":[0.00021556,0.001278601,0.2103481,0.001497717,0.0005878262,0.003991737,0.01267196,0.2387009,0.05228397,0.03350008,0.4445263,0.0003973575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6143837,0.0146569,0.1807343,0.005623091,0.001535066,0.0003471274,0.004134212,0.00291731,0.1756684],"genre_scores_gemma":[0.8699524,0.00497329,0.07529073,0.0002940603,0.0001714617,0.0001696194,0.001650408,0.0001888095,0.04730928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01456106,"threshold_uncertainty_score":0.0487116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05899427922816992,"score_gpt":0.3209810170725358,"score_spread":0.2619867378443659,"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."}}