{"id":"W6943407729","doi":"10.15468/dl.kfccpv","title":"Occurrence Download","year":2021,"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); Listing (finance); Range (aeronautics); 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":[0.001089968,0.002010321,0.001742459,0.00629802,0.00100857,0.002629626,0.002883312,0.001936207,0.1988546],"category_scores_gemma":[0.006485903,0.001020528,0.001102317,0.01146641,0.0004920372,0.002335866,0.002834921,0.001947775,0.2429451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935534,"about_ca_system_score_gemma":0.002800663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02792102,"about_ca_topic_score_gemma":0.04409909,"domain_scores_codex":[0.9989575,0.000120314,0.0001371656,0.0003365185,0.000248959,0.000199439],"domain_scores_gemma":[0.9971107,0.0007535545,0.0002811252,0.0007239396,0.0007796749,0.0003510624],"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":[0.00002805281,0.000009313401,0.0003153916,0.0005684036,0.00001275631,0.00001508914,0.00002163922,0.00009403208,0.000114262,0.0003629315,0.9971287,0.001329531],"study_design_scores_gemma":[0.00007054565,0.000006794491,0.001899654,0.0002217618,0.00001356311,0.00003457451,0.00006495259,0.00009824511,0.0001897656,0.0006014352,0.9967822,0.00001639856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002502306,0.00001656898,0.00002612662,0.00002331205,0.00000760478,0.000004575516,0.9990898,0.0002536135,0.0005533126],"genre_scores_gemma":[0.0001243427,0.00002877643,0.0001483661,0.00003495447,0.000002816372,0.00003890033,0.9990743,0.000131718,0.0004156785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8011454,"threshold_uncertainty_score":0.6652348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}