{"id":"W4323293940","doi":"10.1111/mcn.13496","title":"Assessing <i>Mbiotisho</i>: A smartphone application used to collect high‐frequency health and nutrition data from difficult‐to‐reach populations","year":2023,"lang":"en","type":"article","venue":"Maternal and Child Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; International Development Research Centre","keywords":"Medicine; Data science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001328314,0.0007264249,0.0003924464,0.0005998225,0.000271315,0.0004801555,0.0006672321,0.0005229287,0.009236293],"category_scores_gemma":[0.004877484,0.0002324875,0.0002741693,0.0002396386,0.0001932845,0.000743343,0.0009897782,0.0003217741,0.003171733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649965,"about_ca_system_score_gemma":0.0003573161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520658,"about_ca_topic_score_gemma":0.002196565,"domain_scores_codex":[0.9994922,0.0002015601,0.00005782013,0.00008229943,0.0001049913,0.00006118315],"domain_scores_gemma":[0.9975454,0.001207577,0.0002505737,0.0002322842,0.0004801047,0.0002840905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003120135,0.001145418,0.1204977,0.003057293,0.0002040575,0.001756865,0.006750436,0.0007972575,0.08718532,0.001257878,0.1302051,0.6440225],"study_design_scores_gemma":[0.0009116401,0.008465047,0.5982692,0.00175249,0.0006339168,0.005160913,0.003787488,0.03508694,0.07644016,0.002340941,0.2664593,0.0006918794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747708,0.001580599,0.1376508,0.00311939,0.0006800976,0.01194834,0.02119486,0.04268811,0.03342981],"genre_scores_gemma":[0.8089961,0.0008021015,0.1602369,0.002095406,0.0002462889,0.0081391,0.005948143,0.0007591661,0.01277691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009236293,"threshold_uncertainty_score":0.03089851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05214088560214609,"score_gpt":0.3260956208976009,"score_spread":0.2739547352954548,"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."}}