{"id":"W6943602507","doi":"10.15468/dl.x52f3s","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); Data set; Set (abstract data type)","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":[0.00100356,0.001938839,0.001537459,0.005075238,0.0009840919,0.002508683,0.002824737,0.001993718,0.1594037],"category_scores_gemma":[0.005772789,0.0008998069,0.001130488,0.0100579,0.0004572039,0.002268575,0.002484298,0.001996944,0.2175564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544209,"about_ca_system_score_gemma":0.002246844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991129,"about_ca_topic_score_gemma":0.03293351,"domain_scores_codex":[0.9990228,0.0001396801,0.0001223806,0.0003427136,0.0002062702,0.0001661032],"domain_scores_gemma":[0.9976602,0.0006643615,0.0002263169,0.0006225618,0.000558179,0.0002684449],"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":[0.00002831129,0.00001128363,0.0003635971,0.0005294567,0.0000148177,0.00001464619,0.00002338223,0.0001286771,0.0001139342,0.0004064635,0.9969824,0.001382915],"study_design_scores_gemma":[0.00006983396,0.000007742534,0.001714292,0.0001831421,0.00001371308,0.0000354441,0.00007102683,0.0001414733,0.0001751757,0.0007915912,0.9967801,0.00001645767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004079054,0.00002712071,0.00004337656,0.0000338059,0.00001234316,0.000005043614,0.9988716,0.0003322618,0.0006336417],"genre_scores_gemma":[0.000159054,0.00003327614,0.0001871229,0.00004330146,0.000003661365,0.00004187366,0.9989524,0.0001347803,0.0004445814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405963,"threshold_uncertainty_score":0.5332584,"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."}}