{"id":"W4375843395","doi":"10.14710/jgundip.2022.33138","title":"PENILAIAN KAPASITAS COVID-19 DI KABUPATEN SUKOHARJO MENGUNAKAN SISTEM INFORMASI GEOGRAFIS","year":2022,"lang":"id","type":"article","venue":"Jurnal Geodesi Undip","topic":"Public Health and Nutrition","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics","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":[0.00183814,0.0005831081,0.0003407389,0.001235295,0.001723242,0.003832125,0.0006254126,0.0009943774,0.02705074],"category_scores_gemma":[0.002612607,0.0003600837,0.0004219672,0.001432183,0.0008712465,0.001713764,0.002485108,0.00171578,0.006147006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476203,"about_ca_system_score_gemma":0.005971493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02893375,"about_ca_topic_score_gemma":0.03052617,"domain_scores_codex":[0.9985424,0.0003624375,0.00008375164,0.0002502411,0.0004466558,0.0003145145],"domain_scores_gemma":[0.9984502,0.000395386,0.0002096174,0.0001393939,0.0005599646,0.0002454804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007268594,0.0003454589,0.1950264,0.002455035,0.0003536567,0.003049242,0.01155125,0.001382949,0.01993953,0.041557,0.1315556,0.5920572],"study_design_scores_gemma":[0.00004979392,0.0002493574,0.13853,0.0009706618,0.0002158704,0.002080048,0.009915287,0.001183299,0.008599206,0.005974567,0.832127,0.0001048721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3672676,0.03333537,0.01818612,0.04031524,0.002709015,0.0008732218,0.01292354,0.001878172,0.5225116],"genre_scores_gemma":[0.7691494,0.0197678,0.01239557,0.004737664,0.0004747115,0.0004551974,0.008400908,0.0002271619,0.1843917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02893375,"threshold_uncertainty_score":0.09049374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960445802508888,"score_gpt":0.3175963261690534,"score_spread":0.2779918681439645,"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."}}