{"id":"W6924986267","doi":"10.15468/dl.qjqze9","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); Toolbox; R package","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":[0.0009534732,0.001910717,0.001569689,0.004858934,0.0009100544,0.002475825,0.002690214,0.001884567,0.166177],"category_scores_gemma":[0.005403311,0.0008772655,0.001135815,0.01015293,0.0004067182,0.002327771,0.00252195,0.001837945,0.2345317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154901,"about_ca_system_score_gemma":0.002193478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139134,"about_ca_topic_score_gemma":0.03833986,"domain_scores_codex":[0.9990089,0.0001299228,0.0001272399,0.0003424615,0.000228717,0.000162681],"domain_scores_gemma":[0.997729,0.000583092,0.0002138199,0.0005962764,0.0006145229,0.0002631886],"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":[0.00002706022,0.00001021907,0.0003570115,0.0005019446,0.00001462785,0.00001346411,0.00002270295,0.0001265225,0.0001203202,0.0003772014,0.9969364,0.001492539],"study_design_scores_gemma":[0.00005904043,0.000007272191,0.001757228,0.0001705131,0.00001303482,0.00003258872,0.00006875688,0.0001389799,0.000188519,0.0007347935,0.9968126,0.00001655133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003724536,0.0000231563,0.00004470858,0.00002945626,0.00001038529,0.000004697318,0.9988636,0.0003360796,0.0006507354],"genre_scores_gemma":[0.0001371499,0.00002852464,0.0001922884,0.00003544833,0.00000292909,0.0000347096,0.9989796,0.0001353661,0.0004538945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.833823,"threshold_uncertainty_score":0.5559173,"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."}}