{"id":"W3001165924","doi":"10.18203/2349-3259.ijct20200206","title":"A quasi-experimental study on exploring the use of mobile phone technology for optimizing, tracking and responding to children's developmental progress in Korogocho, Nairobi, Kenya: study protocol","year":2020,"lang":"en","type":"article","venue":"International Journal of Clinical Trials","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Commission for Science, Technology and Innovation; African Population and Health Research Center; Grand Challenges Canada","keywords":"Mobile phone; Medicine; Intervention (counseling); Phone; Linear growth; Population; Tracking (education); Child development; Protocol (science); Nursing; Psychology; Environmental health; Alternative medicine; Computer science; Telecommunications; Psychiatry","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":[0.03251879,0.003159809,0.004697587,0.001910262,0.006623341,0.001949637,0.004656727,0.004329019,0.03787377],"category_scores_gemma":[0.01713734,0.004497944,0.001768423,0.001548078,0.003775625,0.002264895,0.001847361,0.004786112,0.005400975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004458439,"about_ca_system_score_gemma":0.02120586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00631289,"about_ca_topic_score_gemma":0.0175703,"domain_scores_codex":[0.9847781,0.008713315,0.00120164,0.001581235,0.001373874,0.002351744],"domain_scores_gemma":[0.9866799,0.005619358,0.001782443,0.001337093,0.002429506,0.002151795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1739112,0.5029671,0.01628582,0.0283464,0.0007707652,0.001506503,0.03934319,0.004489353,0.01747806,0.008435125,0.02816306,0.1783035],"study_design_scores_gemma":[0.2716383,0.5199245,0.06823453,0.004744245,0.0006125076,0.0001867572,0.02743171,0.003042907,0.005398185,0.005726765,0.09258599,0.0004736914],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.06599414,0.0001416983,0.00200393,0.0002242921,0.000208948,0.9288052,0.0008555296,0.00004876092,0.001717549],"genre_scores_gemma":[0.01684118,0.000135265,0.004682928,0.0002311192,0.00003221286,0.9768395,0.0001501741,0.000003489935,0.001084079],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.03787377,"threshold_uncertainty_score":0.1719779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4337778673632641,"score_gpt":0.5409712028573002,"score_spread":0.1071933354940361,"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."}}