{"id":"W6943688987","doi":"10.15468/dl.q9vmc7","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); 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":[0.001027041,0.002007285,0.001573594,0.0049568,0.001050641,0.002640497,0.002762232,0.002157723,0.1624091],"category_scores_gemma":[0.006328025,0.0009056104,0.001276106,0.009441697,0.000452138,0.002443484,0.002585183,0.001984377,0.2313117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587326,"about_ca_system_score_gemma":0.002393764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219585,"about_ca_topic_score_gemma":0.03452485,"domain_scores_codex":[0.9989275,0.0001531546,0.0001346118,0.0003749487,0.0002331795,0.0001766228],"domain_scores_gemma":[0.9973221,0.0007832979,0.0002287061,0.0007128952,0.0006650027,0.0002879848],"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":[0.0000288735,0.00001229872,0.0004008602,0.0005197907,0.00001363522,0.00001573748,0.00002298892,0.0001227005,0.0001074246,0.0003433808,0.9969927,0.001419587],"study_design_scores_gemma":[0.00007367221,0.000009737628,0.00197871,0.0002065129,0.00001430211,0.00003919233,0.00008468016,0.0001730408,0.0001952249,0.0007842311,0.9964222,0.00001852832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004753364,0.00002831323,0.000045978,0.00004254091,0.0000139458,0.000006225776,0.9987288,0.0004338896,0.0006526886],"genre_scores_gemma":[0.000170928,0.00003416777,0.0002005183,0.0000490366,0.00000413146,0.00004645225,0.998852,0.0001510696,0.0004915951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375909,"threshold_uncertainty_score":0.5433127,"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."}}