{"id":"W6887356998","doi":"10.15468/dl.zsbanv","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":[0.001147131,0.001972384,0.001719564,0.005368058,0.001092123,0.00290511,0.003051279,0.002048866,0.1843754],"category_scores_gemma":[0.006850733,0.001031081,0.001210176,0.01090365,0.0004820208,0.002503732,0.002856416,0.002113653,0.2376245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611045,"about_ca_system_score_gemma":0.002491698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217466,"about_ca_topic_score_gemma":0.03657162,"domain_scores_codex":[0.9988212,0.0001587646,0.0001598924,0.0004081564,0.0002614328,0.0001904774],"domain_scores_gemma":[0.9971479,0.0008267642,0.0002635521,0.0007575637,0.0006884388,0.0003158532],"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":[0.0000265698,0.000009977053,0.0003426299,0.000541682,0.00001456856,0.00001459153,0.00002578642,0.00010946,0.0001042822,0.0004032694,0.9971353,0.001271948],"study_design_scores_gemma":[0.00006481737,0.000006430048,0.001571537,0.000188097,0.00001365109,0.0000343673,0.00007358519,0.0001171103,0.0001653595,0.0007881475,0.9969598,0.0000170841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003321265,0.00002274282,0.00004669836,0.00003302704,0.00001129158,0.000004978456,0.9988508,0.0003576893,0.0006396193],"genre_scores_gemma":[0.0001472383,0.00003282132,0.0002034645,0.00004486027,0.000003278745,0.00004321211,0.9988631,0.0001829124,0.0004791897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8156246,"threshold_uncertainty_score":0.6167973,"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."}}