{"id":"W4246316082","doi":"10.31219/osf.io/fe4dg","title":"PEMBUATAN APLIKASI SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT MATA PADA MANUSIA BERBASIS WEB","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Computer science; Forward chaining; Expert system; Unified Modeling Language; Artificial intelligence; Software; World Wide Web; Programming language","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","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.001141963,0.0007866438,0.0009294638,0.0005198437,0.0002763691,0.0006911478,0.007167276,0.001147909,0.0002466682],"category_scores_gemma":[0.0002152533,0.0007446248,0.0003414631,0.0006015048,0.000309181,0.0004757453,0.00884586,0.001004288,0.002420976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140104,"about_ca_system_score_gemma":0.0005803476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205767,"about_ca_topic_score_gemma":0.0004638734,"domain_scores_codex":[0.9943561,0.000258464,0.00110527,0.002264933,0.001215255,0.0008000068],"domain_scores_gemma":[0.9928586,0.0005020325,0.0007134419,0.005231373,0.0004572917,0.0002372689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001386214,0.0004520537,0.01966168,0.001001689,0.0007484064,0.0004144501,0.0006978534,0.0001415895,0.0002622859,0.5732824,0.3776394,0.02568437],"study_design_scores_gemma":[0.002250235,0.0005386677,0.02651163,0.00253684,0.0003420743,0.000725186,0.0005669462,0.1514037,0.01139303,0.1804978,0.6162559,0.006977939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1418552,0.002496219,0.5594749,0.05100124,0.0183199,0.006256979,0.0004559581,0.01279291,0.2073467],"genre_scores_gemma":[0.8592924,0.0001735756,0.1266487,0.001080091,0.001161208,0.0007072402,0.0001831795,0.0001057847,0.01064772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7174373,"threshold_uncertainty_score":0.9995005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839368133277913,"score_gpt":0.2665857923491171,"score_spread":0.2381921110163379,"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."}}