{"id":"W6924635057","doi":"10.15468/dl.vdazty","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); Alien; 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":[0.001042069,0.001979346,0.001605701,0.004879591,0.0009872298,0.002572339,0.002783583,0.002098905,0.152427],"category_scores_gemma":[0.006000888,0.000885637,0.001237769,0.009690518,0.0004485323,0.002221168,0.002417265,0.002035355,0.2203308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623063,"about_ca_system_score_gemma":0.002364868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226698,"about_ca_topic_score_gemma":0.03594479,"domain_scores_codex":[0.9989452,0.0001483846,0.000130704,0.0003701978,0.0002354414,0.0001700905],"domain_scores_gemma":[0.997468,0.000756373,0.0002324574,0.0006555909,0.0006057032,0.0002819064],"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":[0.00002855398,0.00001182518,0.0003627306,0.0005100298,0.00001472007,0.00001359834,0.00002103376,0.000127445,0.0001113437,0.0003485235,0.9971018,0.001348219],"study_design_scores_gemma":[0.00007572857,0.000009143765,0.002077326,0.000200661,0.00001550725,0.0000354306,0.00007187869,0.0001609341,0.0002017771,0.0008031896,0.99633,0.00001845575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004067707,0.00002609579,0.00004033924,0.00003407762,0.0000111075,0.000004898397,0.9989432,0.0003293625,0.0005702599],"genre_scores_gemma":[0.0001539065,0.00003172035,0.0001736864,0.0000412816,0.000003313596,0.00004102727,0.9989792,0.0001288176,0.0004471148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.847573,"threshold_uncertainty_score":0.5099192,"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."}}