{"id":"W7005067554","doi":"","title":"PERBEDAAN KADAR ZINK SERUM PASIEN DIABETES&#13;\\nMELITUS DENGAN NEUROPATI DAN TANPA NEUROPATI","year":2018,"lang":"id","type":"dissertation","venue":"UNDIP Institutional Repository (UNDIP-IR) (Diponegoro University)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serum glucose; Diabetes mellitus; Clinical study","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":[0.001057832,0.0003189642,0.0003617881,0.0005251096,0.0008929103,0.00137703,0.00042195,0.0006318481,0.01753519],"category_scores_gemma":[0.002473349,0.0002075708,0.000381317,0.0005893708,0.0005954451,0.0007191927,0.0006988059,0.001452747,0.002138084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009527762,"about_ca_system_score_gemma":0.001136536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0082218,"about_ca_topic_score_gemma":0.01273987,"domain_scores_codex":[0.9993135,0.000165947,0.00007212233,0.0001385991,0.0001930674,0.0001168536],"domain_scores_gemma":[0.9989054,0.0002449671,0.0002924988,0.00007383342,0.0002921907,0.000191138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002640515,0.001494387,0.6336113,0.002656955,0.0007009328,0.004546443,0.004451208,0.0002300484,0.009519127,0.006743148,0.07724629,0.2561597],"study_design_scores_gemma":[0.0001138388,0.0007868381,0.8690253,0.001213564,0.0003846771,0.006224993,0.004186766,0.000283046,0.004719584,0.002626953,0.1103626,0.00007187342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8115427,0.03357063,0.004545821,0.02209108,0.001969126,0.0005798807,0.009530499,0.0003261086,0.1158441],"genre_scores_gemma":[0.9169852,0.01211181,0.003144738,0.00618766,0.0004712568,0.0004490288,0.002864778,0.00006030079,0.05772531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01753519,"threshold_uncertainty_score":0.05866104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763534012905247,"score_gpt":0.1736954005067473,"score_spread":0.1560600603776948,"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."}}