{"id":"W2783178303","doi":"10.33096/ilkom.v9i3.159.290-300","title":"PENENTUAN JARAK EFISIEN PENGANTARAN PASIEN OLEH AMBULANCE KE RSUD KARAWANG DENGAN ALGORITME DIJKSTRA","year":2017,"lang":"id","type":"article","venue":"ILKOM Jurnal Ilmiah","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics; Dijkstra's algorithm; Mathematics; Combinatorics; Shortest path problem; Graph","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001953343,0.001027057,0.001210658,0.0004928539,0.003269414,0.002624548,0.009018247,0.0008831035,0.00009365981],"category_scores_gemma":[0.0006435043,0.00105777,0.0005350309,0.0004802778,0.001147011,0.002592899,0.001849242,0.002190507,0.002621984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004822557,"about_ca_system_score_gemma":0.0006905074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083813,"about_ca_topic_score_gemma":0.000460476,"domain_scores_codex":[0.9922376,0.0004843701,0.001497828,0.001982795,0.001934276,0.00186312],"domain_scores_gemma":[0.9918131,0.0003813281,0.001874468,0.004624293,0.000599056,0.0007077898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006316281,0.003343876,0.4504219,0.001246104,0.003346912,0.0122858,0.02211781,0.0006950313,0.07029857,0.1952175,0.05099912,0.1893958],"study_design_scores_gemma":[0.004869177,0.001020775,0.8487734,0.001773137,0.0002856556,0.002245354,0.0006358667,0.02646033,0.01959327,0.004568684,0.08652359,0.003250725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231561,0.003928426,0.02046319,0.01703127,0.01364478,0.001820292,0.0001675617,0.0009678922,0.01882052],"genre_scores_gemma":[0.9859455,0.0003146061,0.004110184,0.0004911991,0.002014039,0.00007669548,0.00002506675,0.0001126561,0.006910024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3983516,"threshold_uncertainty_score":0.9991872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03526197325544832,"score_gpt":0.2942901466758273,"score_spread":0.259028173420379,"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."}}