{"id":"W2519962395","doi":"10.17509/jpki.v2i1.2846","title":"PERBEDAAN TEKANAN DARAH SEBELUM DAN SESUDAH PEMBERIAN TEKNIK RELAKSASI IMAJINASI TERBIMBING PADA LANSIA YANG MENDERITA HIPERTENSI","year":2016,"lang":"id","type":"article","venue":"JURNAL PENDIDIKAN KEPERAWATAN INDONESIA","topic":"Public Health and Nutrition","field":"Medicine","cited_by":3,"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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002270681,0.001827967,0.00252401,0.00123059,0.00171041,0.0005974352,0.001235769,0.001376788,0.001237666],"category_scores_gemma":[0.0006471049,0.001430098,0.0008500962,0.001265931,0.0007274962,0.002051397,0.0004203645,0.002255774,0.001117106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096953,"about_ca_system_score_gemma":0.002715826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090185,"about_ca_topic_score_gemma":0.0005921994,"domain_scores_codex":[0.9872026,0.001136878,0.002919059,0.002440577,0.002355943,0.003944899],"domain_scores_gemma":[0.9916118,0.0005452321,0.001121217,0.002330235,0.0008421871,0.003549358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004886665,0.003604666,0.4538639,0.003659349,0.001579335,0.01095878,0.004729701,7.160507e-7,0.3900529,0.002511718,0.05722694,0.0669254],"study_design_scores_gemma":[0.03128704,0.004665402,0.6442485,0.009998512,0.001559046,0.01353846,0.007952757,0.000161113,0.02342474,0.0002538009,0.2585151,0.004395505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452544,0.004912937,0.00030283,0.03223737,0.003658134,0.002303637,0.0004461484,0.000614114,0.01027037],"genre_scores_gemma":[0.9829843,0.002760894,0.0004988314,0.002379392,0.004883957,0.0002308076,0.0005436732,0.000445476,0.005272651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3666281,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914288925674613,"score_gpt":0.2685643962987681,"score_spread":0.249421507042022,"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."}}