{"id":"W6887280550","doi":"10.15468/dl.u7858m","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); 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":[0.001113961,0.001996503,0.001706822,0.005460642,0.001075647,0.002893368,0.002992961,0.002054552,0.1826336],"category_scores_gemma":[0.006500009,0.001021365,0.001174096,0.01068878,0.0004747581,0.002484924,0.002774474,0.002097161,0.2430276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620088,"about_ca_system_score_gemma":0.002457461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093663,"about_ca_topic_score_gemma":0.03389489,"domain_scores_codex":[0.9988423,0.0001525721,0.0001510301,0.0004025376,0.0002610559,0.0001906683],"domain_scores_gemma":[0.9973654,0.0007616943,0.0002510934,0.0006897247,0.0006276722,0.0003044623],"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":[0.00002724196,0.000009846552,0.0003339897,0.0005167325,0.00001459668,0.0000140945,0.00002354492,0.0001099448,0.0001078394,0.0003936056,0.9971315,0.001317058],"study_design_scores_gemma":[0.00006546291,0.000006721454,0.00161707,0.0001893244,0.0000143265,0.0000357969,0.0000689831,0.0001251854,0.0001736236,0.0007612862,0.9969252,0.00001706387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003361272,0.0000247087,0.00004496943,0.00003217954,0.000010991,0.000004557584,0.9988731,0.0003504502,0.0006253965],"genre_scores_gemma":[0.0001435378,0.00003292427,0.0001870332,0.00004211034,0.000003266056,0.00003857966,0.9989135,0.000168781,0.0004702932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8173664,"threshold_uncertainty_score":0.6109704,"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."}}