{"id":"W2072778394","doi":"10.1289/ehp.0901448","title":"Ecological Niche Modeling of <i>Cryptococcus gattii</i> in British Columbia, Canada","year":2009,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Island Health; University of British Columbia; BC Centre for Disease Control","funders":"British Columbia Centre for Disease Control; Michael Smith Health Research BC; British Columbia Lung Association","keywords":"Cryptococcus gattii; Ecological niche; Environmental niche modelling; Geography; Ecology; Niche; Environmental data; Environmental monitoring; Biology; Cryptococcosis; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172307,0.00007849948,0.0003312338,0.0000251467,0.0001401398,0.00000883643,0.00003676857,0.00004612065,0.0002307416],"category_scores_gemma":[0.00002462318,0.0001099943,0.00005162799,0.00008802904,0.00007911602,0.0000368321,0.00002234084,0.0002207607,0.000002105165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130792,"about_ca_system_score_gemma":0.0001965584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7005707,"about_ca_topic_score_gemma":0.903681,"domain_scores_codex":[0.998964,0.00004597677,0.0002923172,0.0002516528,0.0001757727,0.0002702646],"domain_scores_gemma":[0.9996824,0.00003054404,0.00005538133,0.0001100181,0.000007448335,0.000114178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007861105,0.004568468,0.9739563,0.0001164865,0.00006499167,0.0001664706,0.003438188,0.00110297,0.0009919256,0.00006781727,0.004828499,0.0106192],"study_design_scores_gemma":[0.0008201346,0.0009998607,0.984206,0.00007421029,0.000006867706,0.00004456695,0.01235096,0.0009016282,0.00001121807,0.00009890995,0.0003847315,0.0001008733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930295,0.003474902,0.00001579556,0.001416517,0.00005314904,0.00044128,0.00003204648,0.00001404059,0.001522761],"genre_scores_gemma":[0.9972218,0.001294046,0.0002810029,0.0008595921,0.00004402011,0.0000187533,0.000006265473,0.000006929141,0.000267637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2031102,"threshold_uncertainty_score":0.4485437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197606794261452,"score_gpt":0.2584094257241469,"score_spread":0.2464333577815324,"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."}}