{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001059893,0.0004243625,0.0003960645,0.0008869277,0.0005117099,0.001461913,0.002167888,0.0001548555,0.00003467874],"category_scores_gemma":[0.00006790295,0.0003587505,0.0002050738,0.001705285,0.00006982861,0.005248675,0.001310279,0.0004943206,0.001928934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069991,"about_ca_system_score_gemma":0.0001609804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123261,"about_ca_topic_score_gemma":0.0000238422,"domain_scores_codex":[0.9968016,0.00007716848,0.001030442,0.0003590606,0.0008723572,0.0008593708],"domain_scores_gemma":[0.9979612,0.0001338963,0.0003987194,0.0009583318,0.0002115823,0.0003362668],"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":[0.00006214868,0.0001369871,0.005895521,0.0005222675,0.0004256525,0.0004285383,0.02851896,0.001755957,0.0006823346,0.1979042,0.3042404,0.459427],"study_design_scores_gemma":[0.0009453541,0.0002844165,0.01237025,0.0001037118,0.00001795494,0.0001815444,0.0009927675,0.4658035,0.0008481193,0.0001709694,0.5175075,0.0007739289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4741032,0.0001011082,0.347527,0.005337921,0.003824214,0.001569333,0.0001299364,0.005157888,0.1622494],"genre_scores_gemma":[0.9212883,0.00026685,0.06345757,0.008658139,0.0008954525,0.0001056959,0.001209732,0.00009531977,0.00402299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4640476,"threshold_uncertainty_score":0.9998865,"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."}}