{"id":"W6960851286","doi":"10.1371/journal.pone.0130294.t004","title":"Best models developed with MaxEnt predicting <i>Culicoides sonorensis</i> presence in Alberta (Canada) and Montana (US).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Akaike information criterion; Model selection; Mode (computer interface); Permutation (music); Maximum likelihood; Statistical model","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":[0.001570054,0.002644266,0.001397654,0.002399881,0.0008555223,0.001870452,0.002740208,0.001508405,0.03461047],"category_scores_gemma":[0.0055847,0.0006998876,0.002328805,0.002742515,0.0003564381,0.001076706,0.0009922803,0.001890569,0.03037068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642794,"about_ca_system_score_gemma":0.004262754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2604791,"about_ca_topic_score_gemma":0.5547124,"domain_scores_codex":[0.9993659,0.0001150638,0.00003779601,0.0002877631,0.0000883513,0.0001051079],"domain_scores_gemma":[0.9983627,0.0005879073,0.0001106703,0.0002448872,0.0005584692,0.0001353926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001193381,0.00003311256,0.01458889,0.0005796888,0.0002435568,0.00004769126,0.00004211935,0.003846282,0.0001449484,0.0005634145,0.9742185,0.005572389],"study_design_scores_gemma":[0.0009478249,0.00006433099,0.06533857,0.001482638,0.0008851135,0.000225961,0.0006532614,0.02063772,0.0009766595,0.004652805,0.9040075,0.0001276507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002219395,0.0003456247,0.0004409408,0.0001837184,0.00009027869,0.00001446269,0.9945273,0.0007481337,0.001430225],"genre_scores_gemma":[0.006029328,0.0001319758,0.001354665,0.00007907412,0.00001460154,0.00004267559,0.9902316,0.000251542,0.001864615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7395209,"threshold_uncertainty_score":0.5179259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639578174890959,"score_gpt":0.2149735995505121,"score_spread":0.1785778178016025,"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."}}