{"id":"W4403384445","doi":"10.2196/54862","title":"Stunting Super App as an Effort Toward Stunting Management in Indonesia: Delphi and Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Delphi method; Delphi; Computer science; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0225455,0.0008215079,0.0004946376,0.001155899,0.002805488,0.0009484545,0.0009590458,0.001172434,0.003925683],"category_scores_gemma":[0.01677826,0.000835212,0.0007581789,0.0005377121,0.001703365,0.001300022,0.003176942,0.001991588,0.0007274779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647366,"about_ca_system_score_gemma":0.005931216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412252,"about_ca_topic_score_gemma":0.005028865,"domain_scores_codex":[0.9884974,0.007924858,0.0005284894,0.0004786483,0.0009332285,0.001637299],"domain_scores_gemma":[0.9877762,0.006864025,0.0006224207,0.0005598713,0.003084314,0.001093203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001555493,0.01695891,0.06890789,0.002959898,0.00007381021,0.003946065,0.7607801,0.0009129094,0.01607346,0.001951494,0.006293298,0.1195866],"study_design_scores_gemma":[0.0006141404,0.01610006,0.0759521,0.001567648,0.0001213893,0.001404988,0.8708106,0.004327895,0.006312899,0.001336676,0.02129333,0.0001583087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797791,0.00009179179,0.003662031,0.0004974845,0.00003980477,0.01253581,0.0000918714,0.00002129231,0.003280803],"genre_scores_gemma":[0.9288945,0.0006567174,0.01837111,0.002023175,0.000045363,0.04596755,0.0001818822,0.00002402401,0.003835696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0225455,"threshold_uncertainty_score":0.1192334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0479242013437276,"score_gpt":0.3424360036869988,"score_spread":0.2945118023432712,"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."}}