{"id":"W4402692489","doi":"10.2196/64797","title":"Peer Review of “Viability of Mobile Forms for Population Health Surveys in Low Resource Areas (Preprint)”","year":2024,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Peer review; Resource (disambiguation); Geography; Computer science; Political science; World Wide Web","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":[0.04710402,0.00101887,0.00182686,0.005304632,0.006260206,0.009958387,0.003253553,0.005993187,0.1542551],"category_scores_gemma":[0.2969331,0.0007704499,0.00184427,0.002217875,0.002879509,0.005108429,0.005052432,0.004276645,0.1089783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002922758,"about_ca_system_score_gemma":0.0169056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003470092,"about_ca_topic_score_gemma":0.004630925,"domain_scores_codex":[0.947014,0.01532334,0.003882481,0.002905965,0.02874416,0.002130024],"domain_scores_gemma":[0.4222178,0.0486245,0.006179601,0.0292731,0.4809119,0.01279302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009348276,0.00003100211,0.0003817038,0.0002634611,0.00002467187,0.00009672407,0.0001224659,0.00004431988,0.0005811023,0.0006759784,0.9742573,0.02342769],"study_design_scores_gemma":[0.00008899991,0.00008596422,0.003579744,0.0003176183,0.00003668401,0.0001429128,0.0003713989,0.00090003,0.001623369,0.002057915,0.9907407,0.00005464047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.008968511,0.002002995,0.01353836,0.2658669,0.6025658,0.004245096,0.00705127,0.006614129,0.08914695],"genre_scores_gemma":[0.07377691,0.003693006,0.0265701,0.0548318,0.1875103,0.004092118,0.01794358,0.008729011,0.6228532],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1542551,"threshold_uncertainty_score":0.5160348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05910047090415881,"score_gpt":0.4755670108153616,"score_spread":0.4164665399112028,"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."}}