{"id":"W6943604330","doi":"10.15468/dl.rcuby9","title":"Occurrence Download","year":2020,"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); State (computer science); Range (aeronautics); Scheme (mathematics)","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":[0.0009019042,0.001948945,0.00149632,0.005098253,0.0009422374,0.002595769,0.002811095,0.002010127,0.1672078],"category_scores_gemma":[0.006018017,0.0009491724,0.001246177,0.01013281,0.0004340622,0.002441744,0.002489526,0.001934317,0.2240093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652652,"about_ca_system_score_gemma":0.002423835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271216,"about_ca_topic_score_gemma":0.03309414,"domain_scores_codex":[0.9989868,0.0001326308,0.000139857,0.0003520024,0.000219887,0.0001689433],"domain_scores_gemma":[0.9975876,0.0006652895,0.0002154205,0.0006505012,0.0006074219,0.0002737794],"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":[0.0000301479,0.00001022495,0.0003815032,0.0005144158,0.00001365275,0.00001541646,0.0000217389,0.00012541,0.0001049464,0.0003367914,0.9967886,0.001657083],"study_design_scores_gemma":[0.0000652842,0.000007996137,0.001939023,0.0001789728,0.00001341068,0.0000400606,0.00007130204,0.0001794861,0.0001825948,0.0006622128,0.9966433,0.00001649774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004174022,0.00002687123,0.00004360887,0.00003951111,0.00001286231,0.000005400758,0.998801,0.0004219007,0.0006071165],"genre_scores_gemma":[0.000168169,0.00003554023,0.0001890757,0.0000485733,0.000003796747,0.00004349571,0.9988385,0.0001451977,0.0005277194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327922,"threshold_uncertainty_score":0.5593657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}