{"id":"W6906134226","doi":"10.15468/dl.xsft9b","title":"Occurrence Download","year":2023,"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); Set (abstract data type); 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":[0.0009230153,0.002000139,0.001539135,0.004631498,0.0009530567,0.002289789,0.002773531,0.002033283,0.137549],"category_scores_gemma":[0.0053717,0.0009117603,0.00120398,0.009178794,0.0004478317,0.002098423,0.00249926,0.001967119,0.1963127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599092,"about_ca_system_score_gemma":0.002236897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224945,"about_ca_topic_score_gemma":0.03633379,"domain_scores_codex":[0.9990513,0.0001234049,0.0001221115,0.0003231232,0.0002205342,0.0001595692],"domain_scores_gemma":[0.99788,0.0005825551,0.0002019282,0.0005734007,0.0005148167,0.0002473297],"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":[0.00003131721,0.00001274828,0.0004533911,0.0005687653,0.00001625202,0.00001764978,0.00002903722,0.0001559256,0.0001539695,0.0004150645,0.9965108,0.001635064],"study_design_scores_gemma":[0.00007168303,0.000008063811,0.002015029,0.0001921228,0.00001457548,0.00004077429,0.00008124703,0.0001675731,0.0002145015,0.0007143109,0.9964628,0.00001741751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004955936,0.0000259765,0.00004920714,0.000033319,0.00001175933,0.000005324659,0.9988267,0.0003961703,0.0006020711],"genre_scores_gemma":[0.0001566296,0.00002962735,0.0002037918,0.0000366552,0.000002750986,0.0000380854,0.9990122,0.0001371466,0.0003830773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.862451,"threshold_uncertainty_score":0.4601474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}