{"id":"W3130537913","doi":"10.25077/jka.v9i4.1571","title":"Analisa Kadar Glutamat pada Penderita Fibrilasi Atrium dengan Gangguan Fungsi Kognitif","year":2021,"lang":"id","type":"article","venue":"Jurnal Kesehatan Andalas","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology","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":[0.002365516,0.0009402703,0.0009977059,0.002896957,0.0007217859,0.002327466,0.0005086787,0.001050802,0.005950973],"category_scores_gemma":[0.003030024,0.0004470136,0.001179748,0.001728867,0.0005665133,0.0009529705,0.0004631882,0.001156311,0.001696438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007064857,"about_ca_system_score_gemma":0.0008407179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0052607,"about_ca_topic_score_gemma":0.007576642,"domain_scores_codex":[0.9982557,0.0003647061,0.0003141302,0.0003155624,0.0005483524,0.0002015728],"domain_scores_gemma":[0.9980718,0.0005078496,0.0005083769,0.0001378728,0.000643443,0.0001306589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004050809,0.0007178765,0.7180502,0.003283472,0.001268141,0.008547008,0.002647227,0.0006986796,0.0928195,0.001261496,0.008007433,0.1586481],"study_design_scores_gemma":[0.0002358284,0.003217411,0.7846183,0.001913846,0.002117359,0.02924674,0.0048463,0.004442323,0.1150341,0.003090053,0.05102459,0.0002133444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8820789,0.06174486,0.02140685,0.002230208,0.0005381134,0.0009187961,0.00476657,0.0005875699,0.02572822],"genre_scores_gemma":[0.9411115,0.01673497,0.01969221,0.001784626,0.0002722103,0.0006091551,0.002584005,0.0001388286,0.01707257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005950973,"threshold_uncertainty_score":0.01990801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724549815253498,"score_gpt":0.2939835745716027,"score_spread":0.2667380764190678,"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."}}