{"id":"W3217739733","doi":"10.52523/maskermedika.v5i2.450","title":"IDENTIFIKASI RESPON PENDERITA DALAM MENYIKAPI NYERI FRAKTUR DI WILAYAH KABUPATEN DAN KOTA PROVINSI SUMATERA SELATAN TAHUN 2017","year":2021,"lang":"id","type":"article","venue":"Masker Medika","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002136419,0.001008361,0.001198661,0.0005308004,0.000808024,0.001443702,0.003820473,0.001082427,0.0002005258],"category_scores_gemma":[0.0007886895,0.001053435,0.0003478231,0.001548741,0.0005806069,0.001868796,0.002874268,0.00141044,0.001415501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168456,"about_ca_system_score_gemma":0.001345297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001353527,"about_ca_topic_score_gemma":0.000298343,"domain_scores_codex":[0.9904199,0.00116008,0.001689411,0.002717043,0.0023713,0.001642236],"domain_scores_gemma":[0.9929751,0.0004194237,0.0008560053,0.004238258,0.0009414441,0.0005697752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004439062,0.003766837,0.337014,0.004087444,0.003335124,0.03124218,0.04421578,0.00009376842,0.2817613,0.1548746,0.109344,0.02982112],"study_design_scores_gemma":[0.005655695,0.0009337374,0.4604143,0.00350215,0.0005332592,0.003565802,0.005409805,0.02322375,0.1099836,0.00618223,0.3754745,0.005121238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346597,0.007088558,0.004612834,0.02332802,0.01642578,0.002071738,0.0001545771,0.001611735,0.01004704],"genre_scores_gemma":[0.9568561,0.000281379,0.003172196,0.0004848661,0.0009617873,0.0002329397,0.0003872821,0.0001639439,0.0374595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2661304,"threshold_uncertainty_score":0.9995929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115922418562985,"score_gpt":0.2688611347727839,"score_spread":0.237701910587154,"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."}}