{"id":"W2761302795","doi":"10.30597/mkmi.v13i1.1586","title":"KHASIAT MADU MENURUNKAN TEKANAN DARAH DAN HEMATOLOGI PARAMETER","year":2017,"lang":"id","type":"article","venue":"Media Kesehatan Masyarakat Indonesia","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine; Gynecology","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.001215196,0.001809118,0.003192331,0.0005080695,0.002494234,0.0007301033,0.00281114,0.00108989,0.0007042805],"category_scores_gemma":[0.003760622,0.001465979,0.000769762,0.000445688,0.002955247,0.0008598084,0.00175573,0.002129599,0.002839526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585851,"about_ca_system_score_gemma":0.0004054563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984473,"about_ca_topic_score_gemma":0.0002020066,"domain_scores_codex":[0.9904777,0.0004619894,0.001796121,0.002180491,0.002215842,0.002867817],"domain_scores_gemma":[0.9907076,0.001058592,0.001645005,0.004789443,0.0004916865,0.001307621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005970877,0.0008641504,0.9534737,0.001053804,0.001228465,0.004643349,0.002441636,2.53605e-7,0.002650837,0.001272599,0.01814901,0.01362507],"study_design_scores_gemma":[0.007430903,0.0007309993,0.9515481,0.001916825,0.002018926,0.000605542,0.003000582,0.00009658782,0.01432246,0.0005419421,0.01579813,0.001989023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511706,0.01479693,0.00005144843,0.01294033,0.007760901,0.002451875,0.0001959376,0.0003470318,0.01028489],"genre_scores_gemma":[0.9868851,0.002515867,0.0009516574,0.0006660983,0.002150734,0.000201284,0.0002635327,0.0002569962,0.006108721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03571446,"threshold_uncertainty_score":0.9997581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377450940727056,"score_gpt":0.2913029683683235,"score_spread":0.257528458961053,"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."}}