{"id":"W6943471812","doi":"10.15468/dl.r2tbqz","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); Order (exchange); 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":[0.001134102,0.001986817,0.001679884,0.005468385,0.001049061,0.002749249,0.002921648,0.002062357,0.1684835],"category_scores_gemma":[0.0066198,0.0009839874,0.001147252,0.01061254,0.0004653943,0.002397169,0.002664532,0.002068208,0.2249263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739829,"about_ca_system_score_gemma":0.002541811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380838,"about_ca_topic_score_gemma":0.03795047,"domain_scores_codex":[0.99886,0.0001533274,0.0001500108,0.0003927528,0.0002584885,0.0001853682],"domain_scores_gemma":[0.9972596,0.0007978863,0.0002674328,0.0006973366,0.0006708805,0.0003067966],"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":[0.00002920418,0.00001062618,0.0003769929,0.0005636133,0.00001540052,0.00001610071,0.00002626576,0.0001186624,0.0001195389,0.0004276379,0.9969309,0.001365083],"study_design_scores_gemma":[0.00006451156,0.000006788926,0.001747098,0.000191745,0.00001420942,0.00003677517,0.00007086479,0.0001260443,0.0001772264,0.0007288493,0.9968182,0.0000176041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003489552,0.00002406316,0.00004557184,0.00003276009,0.0000105893,0.000004654613,0.9988726,0.0003532892,0.0006216037],"genre_scores_gemma":[0.000150321,0.00003210496,0.0001946553,0.00004150426,0.000003144011,0.00003939014,0.9989235,0.0001657702,0.0004496124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315165,"threshold_uncertainty_score":0.5636334,"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."}}