{"id":"W4200220866","doi":"10.31219/osf.io/m8ahe","title":"KETERLIBATAN MAHASISWA KEDOKTERAN UNIVERSITAS SEBELAS MARET DALAM UPAYA MITIGASI WABAH COVID-19 DI KOMUNITAS","year":2021,"lang":"id","type":"preprint","venue":"","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Coronavirus disease 2019 (COVID-19); Medicine; Art; Infectious disease (medical specialty)","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":[0.001825313,0.0008848715,0.0006839393,0.00136998,0.004647749,0.006017178,0.001112938,0.001895977,0.08423694],"category_scores_gemma":[0.001902493,0.0005061007,0.0005870347,0.001442683,0.001463274,0.001991301,0.004829396,0.003549175,0.01743574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005042514,"about_ca_system_score_gemma":0.01376774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378873,"about_ca_topic_score_gemma":0.05816987,"domain_scores_codex":[0.9982572,0.0003392268,0.0000846365,0.0002465602,0.0004825467,0.0005898759],"domain_scores_gemma":[0.9983925,0.0001682293,0.0001249793,0.00009430025,0.0005321505,0.0006877944],"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":[0.001615696,0.001231786,0.04555799,0.003268363,0.0002427938,0.003078155,0.01176356,0.001376769,0.01577412,0.0925367,0.2386407,0.5849133],"study_design_scores_gemma":[0.0000420681,0.0002344449,0.01852005,0.0005695406,0.00004639245,0.0004511398,0.00563789,0.0002166297,0.003122658,0.002199138,0.9689087,0.00005130829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2053967,0.04819879,0.007881119,0.07971027,0.006798496,0.0005570551,0.003525706,0.001918502,0.6460133],"genre_scores_gemma":[0.3425148,0.01815856,0.006856054,0.008557029,0.0005286945,0.0002522764,0.001650579,0.0003431453,0.6211389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08423694,"threshold_uncertainty_score":0.2818007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541468788963972,"score_gpt":0.3562802570580073,"score_spread":0.3021333781616101,"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."}}