{"id":"W2991596460","doi":"10.1186/s13071-019-3819-7","title":"Disentangling Trypanosoma cruzi transmission cycle dynamics through the identification of blood meal sources of natural populations of Triatoma dimidiata in Yucatán, Mexico","year":2019,"lang":"en","type":"article","venue":"Parasites & Vectors","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Autónoma de Yucatán; Consejo Nacional de Ciencia y Tecnología; International Development Research Centre; Secretaría de Educación Pública","keywords":"Biology; Blood meal; Chagas disease; Trypanosoma cruzi; Triatoma; Zoology; Ecology; Veterinary medicine; Virology; Hemiptera; Parasite hosting; Reduviidae; Medicine","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":[0.00003985834,0.0001439299,0.0004014962,0.0001940551,0.00006724161,0.00001231886,0.0002635717,0.00008443108,0.000068801],"category_scores_gemma":[0.000238921,0.0001048024,0.0001907813,0.0007819526,0.0001617336,0.0001712039,0.00003731359,0.0002086236,0.000006153518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578561,"about_ca_system_score_gemma":0.00009800914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004613757,"about_ca_topic_score_gemma":0.000168508,"domain_scores_codex":[0.9980819,0.0001013181,0.0008581213,0.0002457436,0.0004714986,0.0002414454],"domain_scores_gemma":[0.9985455,0.0002908664,0.0003934683,0.0005449409,0.0001581105,0.00006710379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001841865,0.0004639325,0.5195127,0.0001703466,0.0000851638,8.675607e-7,0.00143793,0.0002597633,0.4744691,0.002444578,0.00001935038,0.0009520242],"study_design_scores_gemma":[0.001012285,0.0001291978,0.8415503,0.0001191984,0.0001328489,0.000008757927,0.0007948462,0.006813448,0.1488097,0.0005093096,0.00003680561,0.00008328167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965163,0.001343267,0.0002062978,0.0006566934,0.0001002832,0.0007537972,0.00009304735,0.00002064103,0.0003096156],"genre_scores_gemma":[0.9991332,0.0001224819,0.0003600855,0.00001186681,0.00003126493,0.00002348313,0.0001775485,0.00002047628,0.0001196358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3256594,"threshold_uncertainty_score":0.4273716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183561999906003,"score_gpt":0.3205921711924722,"score_spread":0.3022359712018719,"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."}}