{"id":"W6958467840","doi":"10.6084/m9.figshare.9993371.v1","title":"MOESM2 of Ultrasensitive loop mediated isothermal amplification (US-LAMP) to detect malaria for elimination","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Malaria Research and Control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Asymptomatic; Sensitivity (control systems); Loop-mediated isothermal amplification; Loop (graph theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003183205,0.001163207,0.001192616,0.001550383,0.0007191158,0.001316678,0.00287242,0.001082583,0.5678974],"category_scores_gemma":[0.01180189,0.0007946429,0.001196959,0.001565932,0.0003289215,0.001191035,0.001417628,0.001032233,0.1812297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431099,"about_ca_system_score_gemma":0.00140702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273902,"about_ca_topic_score_gemma":0.005157636,"domain_scores_codex":[0.9987726,0.0003114615,0.0001300904,0.0002777129,0.0003323639,0.000175833],"domain_scores_gemma":[0.9961458,0.002219424,0.0002962692,0.0004666608,0.0006933421,0.0001784213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007443217,0.000126258,0.003545294,0.001350777,0.00006588473,0.00005979487,0.00006726285,0.0008421142,0.001583866,0.001041696,0.9627199,0.0278528],"study_design_scores_gemma":[0.001627442,0.0005268536,0.01529409,0.001146439,0.0002283482,0.0004203629,0.0001900794,0.006781677,0.01480969,0.0061953,0.9525964,0.0001833456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001408713,0.0001063248,0.009963272,0.0003117602,0.0001768309,0.0004839064,0.9712063,0.01006912,0.006273725],"genre_scores_gemma":[0.02091341,0.0002903977,0.04703367,0.001005741,0.0001643764,0.004972959,0.887663,0.01334873,0.02460775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5678974,"threshold_uncertainty_score":0.6163418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392955113226732,"score_gpt":0.2887648758516967,"score_spread":0.2648353247194294,"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."}}