{"id":"W6962546802","doi":"10.15468/dl.wbf4yz","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009853167,0.001901381,0.001518925,0.00462758,0.0009856242,0.002535771,0.002640974,0.002070269,0.1529581],"category_scores_gemma":[0.005986343,0.0008797466,0.001219255,0.008782906,0.0004422256,0.002314191,0.002524811,0.001907106,0.2156558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523992,"about_ca_system_score_gemma":0.002223614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058191,"about_ca_topic_score_gemma":0.03307277,"domain_scores_codex":[0.9989992,0.0001398744,0.0001263195,0.0003531824,0.0002177948,0.0001635694],"domain_scores_gemma":[0.9975426,0.0007234323,0.0002160039,0.0006428219,0.0006018659,0.0002734204],"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":[0.00002824289,0.00001256027,0.0004247702,0.0005293194,0.00001401609,0.00001527276,0.00002308606,0.0001265289,0.0001152692,0.0003485858,0.9968784,0.001484046],"study_design_scores_gemma":[0.00007356497,0.000009640555,0.002112088,0.0002117559,0.00001440764,0.00003977945,0.00008264406,0.0001730804,0.0001942218,0.0007322361,0.996339,0.00001757863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005074581,0.00002996751,0.00004702109,0.00004144755,0.00001410864,0.000006250844,0.9987372,0.0004135771,0.0006597262],"genre_scores_gemma":[0.000178794,0.00003498702,0.0002048195,0.00005045815,0.000004020855,0.00004588364,0.9988592,0.0001428616,0.0004789704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8470419,"threshold_uncertainty_score":0.5116959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}