{"id":"W4321605725","doi":"10.1101/2023.02.19.23286133","title":"Estimation of uncertainty in Loa loa microfilarial load by microscopy","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Parasitic Diseases Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Loa loa; Statistics; Measurement uncertainty; Confidence interval; Mathematics; Observational error; Interval (graph theory); Econometrics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.03249896,0.0009243019,0.001165881,0.00302156,0.0005118811,0.002186354,0.002094169,0.00113972,0.001429486],"category_scores_gemma":[0.1161598,0.0005898803,0.001742598,0.002517449,0.001660022,0.002131674,0.002349894,0.001602964,0.000273398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710679,"about_ca_system_score_gemma":0.0006213411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008094393,"about_ca_topic_score_gemma":0.005459616,"domain_scores_codex":[0.9724535,0.01451504,0.001851254,0.004021314,0.006493226,0.0006657124],"domain_scores_gemma":[0.8755953,0.09724364,0.0120776,0.008578935,0.006129013,0.0003754096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006365658,0.0001608169,0.5864658,0.001517927,0.003058654,0.0005716133,0.003723632,0.1953372,0.005563044,0.02861135,0.003908482,0.1704448],"study_design_scores_gemma":[0.00003451463,0.0003964845,0.4328945,0.0009954271,0.0005024443,0.001010018,0.001545338,0.4819895,0.008781243,0.05914492,0.01233545,0.0003701723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.402263,0.005097351,0.5811313,0.0009278859,0.0001656619,0.0003445314,0.003584892,0.0005064795,0.00597891],"genre_scores_gemma":[0.9512094,0.0005078351,0.04578902,0.0001539252,0.00005291197,0.0001934366,0.001508162,0.00003915791,0.0005462639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03249896,"threshold_uncertainty_score":0.171873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183884949722444,"score_gpt":0.373299141680262,"score_spread":0.3414602921830376,"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."}}