{"id":"W4413106869","doi":"10.2196/53715","title":"Use of Mobile Forms in Low-Resource Areas for Population Health Surveys: Interview and Field Test Study","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Resource (disambiguation); Data collection; Population; Mobile technology; Mobile device; Computer science; Test (biology); Geography; Medicine; Environmental health; Statistics; World Wide Web; Human–computer interaction; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03193302,0.0007335875,0.000480898,0.001248225,0.001216475,0.0006786207,0.0008378245,0.0008417745,0.003107789],"category_scores_gemma":[0.03646408,0.0005334495,0.0006019406,0.0009326685,0.001004593,0.001137965,0.001060071,0.0008444452,0.0008120303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016358,"about_ca_system_score_gemma":0.002133654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893081,"about_ca_topic_score_gemma":0.005305625,"domain_scores_codex":[0.9801492,0.01624276,0.0009775091,0.0006747515,0.001015408,0.0009403721],"domain_scores_gemma":[0.9500256,0.03592882,0.003276669,0.003176529,0.00605651,0.001535887],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003774241,0.04799647,0.5864494,0.002100432,0.0001737587,0.002076461,0.1117611,0.001945429,0.01931365,0.0008504196,0.002905088,0.2206535],"study_design_scores_gemma":[0.002387153,0.1596235,0.7017391,0.000811755,0.0002922688,0.001526558,0.09731633,0.006918634,0.01485037,0.0007122757,0.01362264,0.0001994228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891096,0.00003415615,0.003270872,0.00009243266,0.0000127562,0.006084204,0.000137325,0.00002558985,0.001233027],"genre_scores_gemma":[0.9699267,0.000126289,0.01821744,0.0002722489,0.00003027539,0.01040209,0.0002379793,0.00001219171,0.0007748298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.968067,"threshold_uncertainty_score":0.16888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2518106869745017,"score_gpt":0.4926534463638775,"score_spread":0.2408427593893758,"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."}}