{"id":"W6943530795","doi":"10.15468/dl.xeq4vg","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); Range (aeronautics); Data set","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":[0.0009850078,0.001972305,0.001640256,0.005172479,0.0009564647,0.002581878,0.002776248,0.00199162,0.1593145],"category_scores_gemma":[0.00590917,0.0009081811,0.001128995,0.01026146,0.0004435551,0.002223436,0.00247349,0.001962914,0.2239858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483428,"about_ca_system_score_gemma":0.002245493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870788,"about_ca_topic_score_gemma":0.03165828,"domain_scores_codex":[0.9989786,0.0001425053,0.0001292148,0.000363254,0.0002201744,0.0001662946],"domain_scores_gemma":[0.9975595,0.0007013498,0.0002397107,0.0006252827,0.0005819683,0.0002920598],"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":[0.00002952244,0.00001126132,0.0003772953,0.0005735095,0.00001579579,0.0000150495,0.00002374588,0.0001290176,0.0001212793,0.0003791912,0.9969816,0.00134264],"study_design_scores_gemma":[0.00007547136,0.000008119268,0.001881807,0.0001929325,0.00001496035,0.00003617966,0.00007240105,0.0001347351,0.000184108,0.0007986221,0.9965823,0.00001835891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003809595,0.00002498736,0.000039456,0.00003023786,0.00001056302,0.000004508658,0.9989936,0.0003047974,0.0005538526],"genre_scores_gemma":[0.0001542553,0.00003190755,0.0001834639,0.00004151441,0.000003462912,0.00004053853,0.9989686,0.0001347363,0.000441543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8406855,"threshold_uncertainty_score":0.5329601,"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."}}