{"id":"W6905605158","doi":"10.15468/dl.mrn33s","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","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":[0.001145641,0.001961062,0.001667815,0.005216888,0.001064124,0.002827585,0.002994971,0.002057187,0.1761788],"category_scores_gemma":[0.006617508,0.0009950446,0.001186162,0.01024913,0.0004623875,0.0025086,0.002688019,0.002101346,0.2401929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614171,"about_ca_system_score_gemma":0.002457683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02175828,"about_ca_topic_score_gemma":0.0358327,"domain_scores_codex":[0.9988313,0.0001571787,0.0001557591,0.0004095266,0.0002601273,0.0001860435],"domain_scores_gemma":[0.9972693,0.0007796201,0.0002533651,0.000718991,0.0006673426,0.00031135],"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":[0.00002670706,0.000009932415,0.0003340493,0.0004963658,0.00001381093,0.00001383835,0.00002295724,0.0001053921,0.0001057484,0.0003736475,0.9972,0.001297592],"study_design_scores_gemma":[0.00006348124,0.0000066838,0.001638783,0.000188508,0.00001355279,0.00003445998,0.00006920254,0.0001275142,0.0001684544,0.0007410742,0.9969312,0.0000170782],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003381037,0.00002306327,0.00004658188,0.00003247142,0.00001140832,0.000004700177,0.9988711,0.0003458763,0.0006309254],"genre_scores_gemma":[0.0001390676,0.00003161089,0.0001958643,0.00004266711,0.000003265346,0.00003939862,0.9989117,0.0001632441,0.0004731132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8238212,"threshold_uncertainty_score":0.5893768,"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."}}