{"id":"W6925525792","doi":"10.17605/osf.io/ztn4r","title":"Ensemble Species Distribution Modeling of Culex tarsalis (Diptera: Culicidae) in the Continental United States V. 2.0","year":2022,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distribution (mathematics); Species distribution; Environmental niche modelling; Biogeography; Species diversity; Field (mathematics); Habitat","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004401946,0.0003076721,0.0003033144,0.0003662174,0.0001918955,0.0003993191,0.0006399237,0.0004868467,0.002244158],"category_scores_gemma":[0.0008893866,0.0002085551,0.0006440958,0.0004882765,0.0001069282,0.0004433898,0.0003363042,0.000440608,0.0004251792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551517,"about_ca_system_score_gemma":0.0005324259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1279235,"about_ca_topic_score_gemma":0.1073914,"domain_scores_codex":[0.999903,0.00002786907,0.000004505254,0.00004137837,0.000009247672,0.00001398649],"domain_scores_gemma":[0.9997167,0.0001097068,0.00002376875,0.00003269538,0.00008888966,0.00002826803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008580937,0.00005917406,0.07881263,0.00004460061,0.0002487575,0.00005971534,0.00005336191,0.8995886,0.0007231392,0.000736175,0.009024762,0.01056327],"study_design_scores_gemma":[0.00002522334,0.00002339245,0.0381074,0.00001583045,0.00006112213,0.00002445612,0.00006571552,0.9584168,0.0003314544,0.0007945329,0.002115238,0.00001892374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649358,0.0003912308,0.009032471,0.0006237123,0.00007325262,0.00001259902,0.02160449,0.000636489,0.002689925],"genre_scores_gemma":[0.9779876,0.0001372314,0.003899492,0.00009457777,0.000026413,0.00002295016,0.01657665,0.00006202692,0.001193042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279235,"threshold_uncertainty_score":0.2543577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271780053090132,"score_gpt":0.2113500197454663,"score_spread":0.198632219214565,"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."}}