{"id":"W2904839183","doi":"10.1016/j.vetpar.2018.11.017","title":"High-throughput identification and quantification of Haemonchus contortus in fecal samples","year":2018,"lang":"en","type":"article","venue":"Veterinary Parasitology","topic":"Helminth infection and control","field":"Veterinary","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Haemonchus contortus; Biology; Feces; Veterinary medicine; Animal science; Microbiology; Helminths; Immunology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073853,0.0001507037,0.000340252,0.0001962596,0.00008226146,0.00001888454,0.0001240157,0.0001749443,0.0001743757],"category_scores_gemma":[0.0001131543,0.0001571612,0.00004257998,0.0001673733,0.0003784047,0.0001669233,0.00005062836,0.0001061379,0.000135891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003873681,"about_ca_system_score_gemma":0.0000269454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008194737,"about_ca_topic_score_gemma":0.000164667,"domain_scores_codex":[0.9984266,0.0002824013,0.0005584424,0.0003952807,0.00009729731,0.0002399745],"domain_scores_gemma":[0.9991226,0.0001552477,0.0002107112,0.0003568789,0.00009660264,0.00005793353],"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":[0.002059563,0.0003182314,0.1198742,0.00009437278,0.00006308754,0.0001475096,0.0009107424,0.000004157178,0.8273872,0.01410463,0.0003555642,0.03468077],"study_design_scores_gemma":[0.001137184,0.002749754,0.9797499,0.00002562361,0.00002111616,0.0008125915,0.0001273329,0.000713116,0.007640919,0.0007362619,0.006085519,0.0002006981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922375,0.0001182124,0.005717186,0.0003091768,0.0008154416,0.0002620713,0.00002100891,0.00006198083,0.0004574128],"genre_scores_gemma":[0.9991325,0.00003286361,0.0004369218,0.0000772275,0.0001538768,0.00006171022,0.00002760786,0.00001497709,0.00006227764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8598757,"threshold_uncertainty_score":0.6408849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.097190445407865,"score_gpt":0.3929375907972543,"score_spread":0.2957471453893893,"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."}}