{"id":"W6905813386","doi":"10.15468/dl.k9zeaq","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; UniProt","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":[0.0009972749,0.001903526,0.001583181,0.005156418,0.001060931,0.002511283,0.002820026,0.002128802,0.1485257],"category_scores_gemma":[0.006031838,0.0008963195,0.001261629,0.0102649,0.0004736687,0.002304388,0.002558306,0.001990241,0.2074977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605866,"about_ca_system_score_gemma":0.002454399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235846,"about_ca_topic_score_gemma":0.03762999,"domain_scores_codex":[0.9989308,0.0001484929,0.0001343196,0.0003681965,0.000240766,0.0001774222],"domain_scores_gemma":[0.9973534,0.0007743306,0.0002379091,0.0007081266,0.000642047,0.0002841439],"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":[0.00003019113,0.00001264347,0.0003993225,0.0005833423,0.00001478113,0.00001662579,0.00002680532,0.0001267472,0.0001289377,0.0003779121,0.9967995,0.001483085],"study_design_scores_gemma":[0.00007211114,0.000009153085,0.00209587,0.000202204,0.00001460546,0.00003922465,0.00008709179,0.0001419143,0.0001967666,0.0007080724,0.9964149,0.0000180257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004991444,0.0000301241,0.00004340539,0.00004031038,0.00001323968,0.000005925731,0.9987827,0.0003833175,0.0006510017],"genre_scores_gemma":[0.0001695488,0.00003612533,0.0001940143,0.00004588593,0.000003670799,0.00004478449,0.9988956,0.0001407032,0.0004696493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514743,"threshold_uncertainty_score":0.496868,"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."}}