{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121777,0.0005305214,0.001066125,0.0007459486,0.001140112,0.002079381,0.0004236127,0.0006481539,0.01737723],"category_scores_gemma":[0.001573251,0.0002590552,0.000774154,0.0009322873,0.0006951732,0.000997104,0.0008199801,0.001339032,0.002783023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007915644,"about_ca_system_score_gemma":0.001723186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467372,"about_ca_topic_score_gemma":0.00359101,"domain_scores_codex":[0.9990386,0.0002355232,0.0001045422,0.0001802309,0.0003273041,0.0001138034],"domain_scores_gemma":[0.9989255,0.0003105834,0.0001838691,0.00009985005,0.0003430753,0.0001370909],"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":[0.01051708,0.004543951,0.1993304,0.006039992,0.0006586167,0.003095099,0.007558013,0.00063522,0.1758333,0.004230454,0.0168562,0.5707017],"study_design_scores_gemma":[0.0007091504,0.01341526,0.5895147,0.001614627,0.0016184,0.009118893,0.01732322,0.001951887,0.1255787,0.005769094,0.2330654,0.000320607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018734,0.02312511,0.009506811,0.005033299,0.001286358,0.0009705797,0.002991846,0.0004486235,0.05476396],"genre_scores_gemma":[0.9205068,0.01123953,0.01162529,0.002408275,0.0004246865,0.0008601068,0.001725624,0.0001108951,0.05109878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01737723,"threshold_uncertainty_score":0.05813259,"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."}}