{"id":"W4391262489","doi":"10.25134/ilkom.v18i1.89","title":"Analisis Efektivitas E-Health Menggunakan Metode E-Govqual dan IPA Di Puskesmas Gading Kota Surabaya","year":2024,"lang":"en","type":"article","venue":"NUANSA INFORMATIKA","topic":"Healthcare Quality and Satisfaction","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ImmunoPrecise (Canada)","funders":"","keywords":"Business","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005146247,0.0004173061,0.0007215677,0.0005220952,0.001824593,0.0001338366,0.0003230266,0.0004945424,0.000656595],"category_scores_gemma":[0.0004086446,0.0003740525,0.0002175942,0.000967974,0.00008897165,0.001942716,0.0001255097,0.002089672,0.001522901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099619,"about_ca_system_score_gemma":0.001555479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005297879,"about_ca_topic_score_gemma":0.001621182,"domain_scores_codex":[0.9937236,0.001522908,0.002062089,0.0004302623,0.0008381718,0.001422974],"domain_scores_gemma":[0.9967425,0.001343254,0.0004402872,0.0006137043,0.0002033506,0.0006569296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550692,0.0001189123,0.1586686,0.01367588,0.0005053995,0.00004339026,0.2386379,0.0001015865,0.0000987193,0.1352407,0.06278272,0.3899711],"study_design_scores_gemma":[0.001901073,0.000748195,0.259455,0.004307222,0.0001382897,0.00004350949,0.1238247,0.02274064,0.0002711217,0.001809024,0.583047,0.001714198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940164,0.002273007,0.01558342,0.02831638,0.006918272,0.002701215,0.0007456967,0.002040507,0.04740506],"genre_scores_gemma":[0.993768,0.0005106351,0.0005393366,0.003517409,0.000594528,0.0002187032,0.000325699,0.00006515119,0.0004604846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5202643,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172625893478184,"score_gpt":0.4891927630418064,"score_spread":0.3719301736939881,"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."}}