{"id":"W4367723011","doi":"10.36465/jop.v5i2.901","title":"PELAYANAN TELEFARMASI SELAMA COVID 19","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmacopolium","topic":"Public Health and Nutrition","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacist; Scope (computer science); Medicine; Observational study; Inclusion (mineral); Nursing; Computer science; Psychology; Pharmacy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131541,0.000427018,0.0005846449,0.002370041,0.0007475149,0.003020826,0.0004975636,0.0009151999,0.02983492],"category_scores_gemma":[0.002478977,0.0001719591,0.0004417757,0.003390181,0.0003816963,0.001940882,0.001023724,0.0008015361,0.003471925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134645,"about_ca_system_score_gemma":0.00372214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592356,"about_ca_topic_score_gemma":0.001580489,"domain_scores_codex":[0.9992338,0.0002165672,0.0001429274,0.00008402571,0.0002711685,0.00005156099],"domain_scores_gemma":[0.9985037,0.0006623801,0.0002728259,0.00004624752,0.0004510587,0.00006393531],"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":[0.0003764286,0.0002358498,0.006772168,0.05629555,0.0002515171,0.003587792,0.001576972,0.0003541856,0.002974034,0.0186656,0.041935,0.8669749],"study_design_scores_gemma":[0.0001013364,0.0004083347,0.02229713,0.040864,0.000690911,0.006093258,0.005006501,0.0004676985,0.003651965,0.004444345,0.915929,0.00004559839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04317942,0.7371716,0.003231652,0.01640802,0.003306388,0.0005529313,0.001946161,0.0001823619,0.1940215],"genre_scores_gemma":[0.3100434,0.6421068,0.005870479,0.003665835,0.001457865,0.0005312634,0.001713396,0.00003818667,0.03457282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02983492,"threshold_uncertainty_score":0.0998078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897939072877823,"score_gpt":0.393898889866225,"score_spread":0.3549194991374467,"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."}}