{"id":"W4394154416","doi":"10.6084/m9.figshare.7645073","title":"Fly Population and Activity Levels and Climate Change from Modelling the transmission dynamics of <i>Campylobacter</i> in Ontario, Canada, assuming house flies, <i>Musca domestica</i>, are a mechanical vector of disease transmission","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Musca; Vector (molecular biology); Transmission (telecommunications); Campylobacter; Population; Climate change; Ecology; Biology; Geography; Environmental science; Engineering; Environmental health; Medicine; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0006193654,0.001285176,0.0009261055,0.001704927,0.00122066,0.00117961,0.003156958,0.001876251,0.02012732],"category_scores_gemma":[0.004240359,0.0009583119,0.002122714,0.004613764,0.0006121828,0.0006089299,0.0009046126,0.001434648,0.008207733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01263663,"about_ca_system_score_gemma":0.0139956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9687903,"about_ca_topic_score_gemma":0.9768163,"domain_scores_codex":[0.9996336,0.0000427153,0.00003206974,0.00009742343,0.00009703333,0.00009721849],"domain_scores_gemma":[0.9979845,0.0003860936,0.0001678489,0.0002622614,0.0009559375,0.0002433304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002440114,0.00007091772,0.01872818,0.001489576,0.000423845,0.0001146791,0.0001412507,0.02535942,0.0002057681,0.001278231,0.9467802,0.005163981],"study_design_scores_gemma":[0.002019042,0.00007515055,0.1623924,0.001516954,0.0005344271,0.0002217986,0.0006806973,0.03049714,0.0007278672,0.002466707,0.7986183,0.0002493851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001835123,0.0001059485,0.00007031036,0.0001399105,0.00002446988,0.00001201462,0.9971623,0.0001070163,0.0005429007],"genre_scores_gemma":[0.01043849,0.0002252387,0.0004879412,0.00008331044,0.00001132007,0.00009439554,0.9870895,0.00004500995,0.001524779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03120971,"threshold_uncertainty_score":0.09168559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593201087170902,"score_gpt":0.2701476890996246,"score_spread":0.2142156782279155,"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."}}