{"id":"W6924585117","doi":"10.15468/dl.kk9hrz","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":[0.001040726,0.002042328,0.001614313,0.004843996,0.001010162,0.002637048,0.002869345,0.002267393,0.153083],"category_scores_gemma":[0.006155748,0.0009078481,0.001316377,0.009356005,0.0004638194,0.002435499,0.002558368,0.002076103,0.2190274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626939,"about_ca_system_score_gemma":0.002391721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274014,"about_ca_topic_score_gemma":0.03726863,"domain_scores_codex":[0.9988661,0.0001633481,0.0001451795,0.0004019829,0.0002425887,0.0001808505],"domain_scores_gemma":[0.9972847,0.0008006832,0.0002375653,0.000731995,0.0006527114,0.0002924129],"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":[0.00003041041,0.00001223868,0.0003650096,0.0005119215,0.00001508168,0.00001484644,0.00002159634,0.0001270589,0.0001055924,0.0003583026,0.9971374,0.001300472],"study_design_scores_gemma":[0.00007998211,0.000009368891,0.001907569,0.0001935784,0.0000154106,0.00003767804,0.00007507328,0.0001706715,0.0001940038,0.0008768285,0.9964204,0.0000195239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000391318,0.00002525563,0.00004236615,0.00003698418,0.00001189711,0.000005349956,0.998917,0.000355851,0.0005661047],"genre_scores_gemma":[0.0001577296,0.00003175821,0.0001888238,0.00004632299,0.000003551221,0.00004152505,0.9989712,0.0001332357,0.0004258719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846917,"threshold_uncertainty_score":0.5121136,"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."}}