{"id":"W6943428713","doi":"10.15468/dl.wjxwgk","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); Set (abstract data type); Order (exchange)","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":[0.001084954,0.001921686,0.001578507,0.00483056,0.0009794048,0.002569075,0.002827863,0.001944353,0.1641461],"category_scores_gemma":[0.00613731,0.0009465714,0.001105956,0.00938447,0.0004416713,0.00227573,0.002548921,0.001971761,0.2173599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655134,"about_ca_system_score_gemma":0.002384736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269495,"about_ca_topic_score_gemma":0.03734228,"domain_scores_codex":[0.9989459,0.0001420368,0.0001357104,0.0003618568,0.000244139,0.0001703375],"domain_scores_gemma":[0.997505,0.0007150051,0.0002378692,0.0006508582,0.000599707,0.0002916458],"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":[0.00002714104,0.00001062659,0.0003584755,0.0004905671,0.00001439738,0.00001416524,0.00002373577,0.0001176756,0.0001076241,0.0003886607,0.9971591,0.001287748],"study_design_scores_gemma":[0.00007024119,0.000007159143,0.001836637,0.0001838634,0.00001403221,0.00003536347,0.00007068389,0.0001434309,0.0001928323,0.0007582815,0.9966697,0.0000178776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003688269,0.00002229836,0.00004505223,0.00003249617,0.00001058368,0.000004817101,0.9988557,0.0003640869,0.0006281366],"genre_scores_gemma":[0.0001562972,0.00002957104,0.0001927524,0.0000411432,0.000003101149,0.00004183123,0.9989171,0.0001638327,0.0004543522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358539,"threshold_uncertainty_score":0.5491235,"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."}}