{"id":"W2018196097","doi":"10.1016/j.ecocom.2013.11.003","title":"Tick seeking assumptions and their implications for Lyme disease predictions","year":2013,"lang":"en","type":"article","venue":"Ecological Complexity","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Hong Kong Polytechnic University; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Tick; Lyme disease; Host (biology); Biology; Population; Tick-borne disease; Context (archaeology); Pathogen; Transmission (telecommunications); Disease; Vector (molecular biology); Zoology; Ecology; Immunology; Genetics; Computer science; Medicine; Environmental health; Internal medicine","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":[0.00497911,0.0005821824,0.0008081047,0.001530506,0.001291852,0.003098691,0.002767193,0.001939458,0.01230448],"category_scores_gemma":[0.02538468,0.0003569415,0.0007528666,0.0008875955,0.003720582,0.00621261,0.00235194,0.002625796,0.0007959362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480976,"about_ca_system_score_gemma":0.0006970712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338865,"about_ca_topic_score_gemma":0.001811341,"domain_scores_codex":[0.9988402,0.0005252181,0.00005102802,0.000188446,0.0002732851,0.0001218472],"domain_scores_gemma":[0.9860448,0.01038632,0.001415878,0.0007111386,0.000712461,0.0007295534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004085943,0.0002538018,0.02598007,0.000273177,0.0001892224,0.0005076798,0.001206551,0.07229099,0.0008840305,0.8622943,0.004161156,0.03155037],"study_design_scores_gemma":[0.00003022062,0.00003237022,0.004602228,0.00003433714,0.00002187156,0.0000805848,0.0003705561,0.05426474,0.0001118127,0.9395425,0.000889049,0.00001975358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530852,0.002233603,0.1614214,0.04340261,0.0004297543,0.0001836033,0.0006423951,0.0001650814,0.1384364],"genre_scores_gemma":[0.9903404,0.0003843179,0.007243833,0.0007468614,0.0002087865,0.00004239684,0.00008688628,0.00001732123,0.0009292909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01230448,"threshold_uncertainty_score":0.04116261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05385289497565883,"score_gpt":0.2791417427225321,"score_spread":0.2252888477468733,"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."}}