{"id":"W6924788205","doi":"10.15468/dl.kv8uf9","title":"Occurrence Download","year":2023,"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)","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":[0.0009741269,0.002074049,0.00159414,0.004831406,0.0009996478,0.00252051,0.002840128,0.002004614,0.1521411],"category_scores_gemma":[0.005650626,0.0009756497,0.001233964,0.009719183,0.0004629088,0.002231541,0.002632763,0.002066868,0.2136635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642576,"about_ca_system_score_gemma":0.002394726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502979,"about_ca_topic_score_gemma":0.03940523,"domain_scores_codex":[0.9990132,0.0001279713,0.0001211652,0.0003400884,0.0002298092,0.0001677465],"domain_scores_gemma":[0.9977854,0.0006195313,0.0002039189,0.0005976888,0.000534414,0.0002590186],"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":[0.00002966706,0.00001119281,0.0003831581,0.0005123806,0.00001540881,0.00001562849,0.00002717922,0.0001349101,0.0001344732,0.0004063005,0.9968549,0.001474756],"study_design_scores_gemma":[0.00006813676,0.000007474867,0.001842122,0.0001754372,0.00001409964,0.00003749229,0.0000745476,0.0001588801,0.0002142701,0.0007403469,0.9966492,0.00001791907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004499025,0.00002481725,0.0000517266,0.0000327548,0.00001145279,0.000005108081,0.9987124,0.0004785651,0.0006382813],"genre_scores_gemma":[0.0001552548,0.00002878751,0.0001970114,0.00003827017,0.000002775268,0.00003742135,0.9989453,0.0001787489,0.000416596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478588,"threshold_uncertainty_score":0.5089628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}