{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002599438,0.0002462512,0.0004552,0.001058428,0.0007444389,0.001988851,0.0002107297,0.00031428,0.005772187],"category_scores_gemma":[0.007944745,0.0001539674,0.000508944,0.001963683,0.0007022152,0.0008840662,0.0009916268,0.0007134788,0.000554281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105356,"about_ca_system_score_gemma":0.001180482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419801,"about_ca_topic_score_gemma":0.02214305,"domain_scores_codex":[0.9980217,0.0005801835,0.0002401554,0.0001467055,0.0007426097,0.000268553],"domain_scores_gemma":[0.992977,0.004504971,0.0007591963,0.0001441156,0.001365099,0.0002495979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002976428,0.0003325859,0.8900457,0.0008881051,0.0001453345,0.0002758649,0.02273967,0.0002648144,0.001773132,0.0004480038,0.0007504394,0.08203863],"study_design_scores_gemma":[0.0000050872,0.0002166954,0.9615409,0.0001637331,0.00007892698,0.0001208087,0.03420768,0.0004194032,0.0005727255,0.0001012588,0.002556481,0.00001635317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945831,0.0002734703,0.0002612584,0.0001274692,0.000007143527,0.00004602579,0.0003518137,0.000005135192,0.004344671],"genre_scores_gemma":[0.9978049,0.0003001508,0.0004354426,0.00003768415,0.000004115578,0.00005084656,0.0002560314,0.00000272192,0.001107946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419801,"threshold_uncertainty_score":0.02823073,"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."}}