{"id":"W3038114434","doi":"10.37425/eajsti.v1i3.154","title":"A mobile digital technology (Fionet™) to improve accuracy, completeness and timeliness of research data compared with a non-digital system in Kenya","year":2020,"lang":"en","type":"article","venue":"East African Journal of Science Technology and Innovation","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fio Corporation (Canada)","funders":"","keywords":"Indoor residual spraying; Malaria; Medicine; Environmental health; Data collection; Data quality; Epidemiology; Cohort; Statistics; Operations management; Plasmodium falciparum; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007994228,0.0003756808,0.0002700991,0.0008683545,0.0007912917,0.001177242,0.0007533004,0.0004899026,0.004086868],"category_scores_gemma":[0.01351633,0.0003272522,0.0003899483,0.0008827678,0.0007905595,0.00150569,0.001112645,0.0003907983,0.0004280674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794764,"about_ca_system_score_gemma":0.002432404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196226,"about_ca_topic_score_gemma":0.01353235,"domain_scores_codex":[0.994294,0.003854251,0.0003816577,0.0004266369,0.0007362519,0.0003071852],"domain_scores_gemma":[0.9943383,0.002777624,0.001380376,0.0002873292,0.0008562911,0.000360133],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006373346,0.002120559,0.2569357,0.002986247,0.0002041732,0.0005044745,0.002943222,0.001573441,0.01543629,0.00190458,0.004059139,0.7049588],"study_design_scores_gemma":[0.002889177,0.04337933,0.8664089,0.002531566,0.0008054869,0.002258288,0.006504281,0.008039926,0.02402952,0.001304872,0.04156831,0.000280375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806548,0.00424008,0.005146165,0.002340116,0.000150213,0.001680895,0.0005455225,0.00009977958,0.005142322],"genre_scores_gemma":[0.9681819,0.003102685,0.02539466,0.000534704,0.00007290238,0.0007948491,0.000223485,0.00001431308,0.001680448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920058,"threshold_uncertainty_score":0.04227805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219316997398723,"score_gpt":0.329326615473707,"score_spread":0.2871334454997198,"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."}}