{"id":"W3107603614","doi":"10.1016/j.ijpddr.2020.11.005","title":"Challenges and opportunities for the adoption of molecular diagnostics for anthelmintic resistance","year":2020,"lang":"en","type":"article","venue":"International Journal for Parasitology Drugs and Drug Resistance","topic":"Helminth infection and control","field":"Veterinary","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"China Agricultural Research System","keywords":"Anthelmintic; Resistance (ecology); Biology; Drug resistance; Risk analysis (engineering); Biotechnology; Computational biology; Business; Ecology; Genetics","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":[0.000365898,0.0001288703,0.0002326782,0.00005427122,0.0001908047,0.00004885624,0.000188861,0.0000621026,0.000004253282],"category_scores_gemma":[0.000551375,0.0001022029,0.0001223555,0.00001766184,0.0001571676,0.0001016997,0.00002514076,0.00009848263,4.183529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001870976,"about_ca_system_score_gemma":0.00004201488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.949662e-7,"about_ca_topic_score_gemma":0.00003159802,"domain_scores_codex":[0.9990758,0.00005793172,0.0003602059,0.0001984415,0.0001438111,0.0001638003],"domain_scores_gemma":[0.9975063,0.001587791,0.0002779948,0.00008173446,0.0004593524,0.00008680562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02438692,0.0002673873,0.0007663651,0.00134766,0.001927313,0.0001752557,0.009091714,0.00005198583,0.005771547,0.743564,0.03816716,0.1744828],"study_design_scores_gemma":[0.006209679,0.000745657,0.004080413,0.0003807107,0.0003490784,0.0002539675,0.006443259,0.002308292,0.001796056,0.03992521,0.937037,0.0004707073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.315536,0.1107913,0.259499,0.3052729,0.00338449,0.002361763,0.0007741743,0.00007380787,0.002306591],"genre_scores_gemma":[0.9841481,0.01231477,0.001412191,0.001139183,0.0003359663,0.0001774125,0.000009548572,0.00001818604,0.0004446479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8988698,"threshold_uncertainty_score":0.4167715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08753789623996394,"score_gpt":0.3647188155887414,"score_spread":0.2771809193487774,"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."}}