{"id":"W2345533822","doi":"10.1186/s13071-016-1531-4","title":"Real-time PCR using FRET technology for Old World cutaneous leishmaniasis species differentiation","year":2016,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Walter Reed Army Institute of Research; National Research Council of the Philippines; Health Canada; McGill University Health Centre; Public Health Agency; Public Health Agency of Canada; Université de Montpellier; McGill University","keywords":"Cutaneous leishmaniasis; Leishmania tropica; Biology; Leishmaniasis; Melting curve analysis; Leishmania; Leishmania major; Virology; Real-time polymerase chain reaction; Visceral leishmaniasis; Parasite hosting; Parasitology; Immunology; Genetics; Gene; Zoology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002561223,0.001280709,0.0009884194,0.001171576,0.000378656,0.0008648995,0.001079872,0.001800429,0.002055851],"category_scores_gemma":[0.001756844,0.0005528753,0.0008745964,0.0007920404,0.001048321,0.0009249684,0.0006267029,0.001797311,0.001441398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005536415,"about_ca_system_score_gemma":0.0003623865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580626,"about_ca_topic_score_gemma":0.0003331085,"domain_scores_codex":[0.9974077,0.0006894587,0.0001938113,0.0008208466,0.000668888,0.0002191957],"domain_scores_gemma":[0.9989433,0.0004696632,0.0002001304,0.0001030636,0.0002344942,0.00004937474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001647367,0.0001334116,0.0009288227,0.0003749574,0.00003023233,0.0001461637,0.000136737,0.0007688364,0.980153,0.0005213897,0.0003675018,0.01627416],"study_design_scores_gemma":[0.00002983081,0.0006360535,0.00209031,0.00008109032,0.00007503299,0.0007734144,0.0001135666,0.01516829,0.9714049,0.0005094191,0.009052515,0.000065539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2423047,0.009088947,0.7378879,0.0006801408,0.0007062356,0.0006310631,0.001214187,0.002452364,0.005034514],"genre_scores_gemma":[0.4438377,0.005036705,0.5418954,0.00066345,0.0001304764,0.001810957,0.001386922,0.0001737596,0.005064728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002561223,"threshold_uncertainty_score":0.01354522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347036344285419,"score_gpt":0.3098244135908845,"score_spread":0.2763540501480303,"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."}}