{"id":"W2762933004","doi":"10.1016/j.vetpar.2017.10.005","title":"Evaluation of accuracy and precision of a smartphone based automated parasite egg counting system in comparison to the McMaster and Mini-FLOTAC methods","year":2017,"lang":"en","type":"article","venue":"Veterinary Parasitology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Small Business Innovation Research; McMaster University; U.S. Department of Agriculture","keywords":"Parasite hosting; Biology; Statistics; Veterinary medicine; Computer science; Mathematics; Medicine; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002178599,0.00009844738,0.0002236734,0.00007967867,0.0001216123,0.00003019772,0.0001953167,0.0001099876,0.000006313126],"category_scores_gemma":[0.0006152681,0.00008284392,0.0000257651,0.00005816696,0.0001349682,0.000009604439,0.0001029676,0.00004596255,0.000002542375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001043084,"about_ca_system_score_gemma":0.00003975402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000440848,"about_ca_topic_score_gemma":0.00002959125,"domain_scores_codex":[0.9983761,0.0006687103,0.0004142848,0.0002790191,0.0001509788,0.0001109173],"domain_scores_gemma":[0.9986989,0.0001142944,0.0004240535,0.0004936989,0.0002383504,0.00003065669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002597553,0.00006328223,0.05448235,0.00009818043,0.0000361501,4.685336e-7,0.0002579156,0.0002358366,0.9239974,0.00004591131,0.0001137704,0.020409],"study_design_scores_gemma":[0.0008425262,0.0003709133,0.7782929,0.00006853184,0.00006017219,0.00003276713,0.0002066697,0.07933431,0.1387982,0.000004734018,0.001888409,0.00009989981],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956284,0.0003863953,0.002999533,0.0001906642,0.000203414,0.0003944374,0.00001058598,0.000009221772,0.0001774106],"genre_scores_gemma":[0.9959787,0.00001337513,0.003863482,0.0000202065,0.00001883281,0.00005887152,0.00002105946,0.000007920079,0.00001758532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7851992,"threshold_uncertainty_score":0.3378277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105847381575324,"score_gpt":0.4584391988523067,"score_spread":0.3525918172769827,"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."}}