{"id":"W2795185700","doi":"10.13140/rg.2.2.13137.02405","title":"Utilisation des outils phylogéographiques pour explorer la diversité génétique de Borrelia burgdorferi et le paysage génétique de la maladie de Lyme au Canada","year":2017,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Public Health Agency; Public Health Agency of Canada","keywords":"Borrelia burgdorferi; Borrelia; Biology; Geography; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376586,0.0007579676,0.0007649736,0.003312429,0.000969983,0.002331594,0.0005619121,0.0004201699,0.002749451],"category_scores_gemma":[0.005206495,0.0004386979,0.001418313,0.005289339,0.0003303769,0.0004909557,0.0006754053,0.0009708964,0.000426503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629168,"about_ca_system_score_gemma":0.005416314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6104491,"about_ca_topic_score_gemma":0.6727082,"domain_scores_codex":[0.9990222,0.0003058477,0.00004670352,0.0002125947,0.0002697208,0.0001429135],"domain_scores_gemma":[0.9956644,0.002334184,0.0003136729,0.0002634683,0.001190383,0.000233821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006298677,0.0001889967,0.7800869,0.0008651906,0.002761611,0.0005299021,0.004707923,0.02841323,0.04795553,0.004228831,0.003263881,0.1263682],"study_design_scores_gemma":[0.00006058518,0.0001399014,0.9050114,0.0002030802,0.000999005,0.0002954777,0.002441853,0.06519072,0.005873809,0.001107202,0.01855967,0.0001172772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8940381,0.00209881,0.06655525,0.0003727672,0.000045254,0.0002456906,0.02437605,0.0009539005,0.01131422],"genre_scores_gemma":[0.9053087,0.001293771,0.07567658,0.0001344379,0.00001224199,0.0001885911,0.01296706,0.0002322366,0.004186495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3895509,"threshold_uncertainty_score":0.7836901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006610514600422334,"score_gpt":0.1966273574351819,"score_spread":0.1900168428347596,"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."}}