{"id":"W2319039819","doi":"10.71781/3739","title":"Prévention de la maladie de Lyme : facteurs sociaux et priorisation des interventions","year":2015,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Political science","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":[0.02573089,0.0008637094,0.001372396,0.001314705,0.001168783,0.002599109,0.001244589,0.001568642,0.008006561],"category_scores_gemma":[0.05832135,0.0005863945,0.002068665,0.0008563036,0.001684246,0.003025076,0.002221052,0.002017337,0.0004762813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004335104,"about_ca_system_score_gemma":0.008892205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063664,"about_ca_topic_score_gemma":0.02093295,"domain_scores_codex":[0.979629,0.01643689,0.000902031,0.0008326729,0.001538827,0.0006606223],"domain_scores_gemma":[0.9612805,0.02952882,0.004368004,0.001295286,0.001973519,0.001553829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.007248047,0.004415527,0.2131832,0.01678788,0.009941503,0.0003674894,0.01265589,0.01472628,0.001885385,0.1947553,0.006930928,0.5171025],"study_design_scores_gemma":[0.003627474,0.01987595,0.4716981,0.04247538,0.01640269,0.0009882629,0.01203538,0.04037739,0.005582158,0.2634244,0.1228411,0.0006716462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6520774,0.08882226,0.09733135,0.08332329,0.002673228,0.005577385,0.002881905,0.0002291233,0.06708398],"genre_scores_gemma":[0.9318431,0.01288334,0.0431876,0.003575836,0.0002233135,0.003811023,0.0004193241,0.00002448526,0.004031978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573089,"threshold_uncertainty_score":0.1360796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862905254532846,"score_gpt":0.3884075949328175,"score_spread":0.329778542387489,"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."}}