{"id":"W6905760232","doi":"10.15468/dl.rok8jk","title":"Occurrence Download","year":2020,"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); Order (exchange); Confidentiality","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":[0.0009668952,0.001967325,0.001517701,0.004510679,0.001030332,0.002526005,0.002957332,0.001955199,0.1495292],"category_scores_gemma":[0.005517528,0.0009004428,0.001186881,0.009024313,0.0004577669,0.002316799,0.002590369,0.001978712,0.2166299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711737,"about_ca_system_score_gemma":0.002458679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799749,"about_ca_topic_score_gemma":0.04618198,"domain_scores_codex":[0.9990023,0.0001296257,0.0001198567,0.0003447104,0.0002306697,0.0001729769],"domain_scores_gemma":[0.997822,0.0005635267,0.0001880246,0.0005948323,0.000562873,0.0002686304],"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":[0.00002706001,0.00001019957,0.000331461,0.0004501077,0.00001324363,0.00001413389,0.0000229324,0.0001133914,0.0001118693,0.000397949,0.9971799,0.001327852],"study_design_scores_gemma":[0.00006116257,0.000007107758,0.001718227,0.0001634002,0.00001290042,0.00003618427,0.00006831231,0.0001496247,0.00019708,0.0007524118,0.9968167,0.00001684881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004282632,0.00002753655,0.00004966231,0.00003637057,0.00001243182,0.000005110769,0.9986417,0.0004602811,0.0007241351],"genre_scores_gemma":[0.0001451996,0.00002970403,0.000184413,0.00003976856,0.000002913313,0.00003429209,0.9989516,0.0001545684,0.0004575969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504708,"threshold_uncertainty_score":0.5002251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}