{"id":"W3092930054","doi":"10.61805/fahma.v18i3.61","title":"PENGEMBANGAN SMART VILLAGE KAKI LANGIT DENGAN PENGOPTIMALAN WEB INTEGRATIF","year":2023,"lang":"en","type":"article","venue":"Jurnal Informatika Komputer Bisnis dan Manajemen","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Tourism; Skyline; Business; Smart city; Marketing; Knowledge management; World Wide Web; Geography; Computer science; Internet of Things","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":[0.0003538676,0.0005334174,0.0003040603,0.000975672,0.001723663,0.004114673,0.0004497566,0.0005804797,0.03032798],"category_scores_gemma":[0.0006551466,0.0003533449,0.0002943195,0.001448226,0.0006308426,0.003648177,0.001745917,0.0007587152,0.01087888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450062,"about_ca_system_score_gemma":0.001293317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004046993,"about_ca_topic_score_gemma":0.005808545,"domain_scores_codex":[0.9997199,0.00004341564,0.00001656184,0.00005371043,0.0001042237,0.00006212192],"domain_scores_gemma":[0.9996296,0.00007789044,0.00002805749,0.00005281953,0.0001265886,0.00008512841],"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":[0.0006801155,0.0004815227,0.01509774,0.001976182,0.00006174108,0.003088623,0.007811145,0.001750953,0.03171725,0.02611466,0.08632005,0.8249],"study_design_scores_gemma":[0.00007292883,0.0002044253,0.02009366,0.0002795213,0.00008201298,0.002243787,0.007391911,0.004713112,0.01180155,0.006411519,0.9466106,0.00009487253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2480959,0.008828728,0.06425864,0.003933788,0.001330735,0.0007478812,0.004397704,0.008341907,0.6600648],"genre_scores_gemma":[0.6020385,0.00712023,0.03908459,0.0006712987,0.0002759096,0.0007322811,0.005184857,0.0006208675,0.3442715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03032798,"threshold_uncertainty_score":0.1014572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972260549015401,"score_gpt":0.2463861501747957,"score_spread":0.2266635446846417,"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."}}