{"id":"W6906208429","doi":"10.15468/dl.whtrmd","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); Alien; State (computer science)","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":[0.001016117,0.001953159,0.001608205,0.005241702,0.001008142,0.002686403,0.00280847,0.002105218,0.1486542],"category_scores_gemma":[0.006437218,0.0009056415,0.00125144,0.009962445,0.0004465607,0.002327317,0.002502468,0.001998201,0.2129974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565811,"about_ca_system_score_gemma":0.002332927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172423,"about_ca_topic_score_gemma":0.03391046,"domain_scores_codex":[0.9989331,0.0001496142,0.0001371732,0.0003785528,0.0002305184,0.0001710186],"domain_scores_gemma":[0.99744,0.0007757316,0.0002241303,0.000660544,0.0006286915,0.0002709642],"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":[0.00002881675,0.00001248953,0.0004286952,0.0006085508,0.00001573823,0.0000171076,0.00002652489,0.0001381585,0.0001181276,0.0003772275,0.9967122,0.001516446],"study_design_scores_gemma":[0.0000705081,0.000009081318,0.002007591,0.0002187223,0.00001581732,0.00004061775,0.00008816034,0.0001764394,0.0001845077,0.0007942793,0.996375,0.00001933503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004534104,0.00003044132,0.00004627868,0.00003910682,0.00001313497,0.000005834675,0.9988344,0.0003849381,0.000600516],"genre_scores_gemma":[0.0001677738,0.00003803198,0.0002086971,0.00004629466,0.000003804448,0.00004821813,0.9988829,0.0001462068,0.0004579427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513458,"threshold_uncertainty_score":0.4972979,"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."}}