{"id":"W6905684710","doi":"10.15468/dl.qexnt3","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); Alien; The Internet","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":[0.001070519,0.001924402,0.001623033,0.005302944,0.0009845828,0.00261547,0.002851101,0.002105459,0.1615298],"category_scores_gemma":[0.006279312,0.0009206482,0.001218938,0.01068318,0.0004616963,0.00229064,0.002521281,0.002030578,0.2220077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168556,"about_ca_system_score_gemma":0.00245555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316768,"about_ca_topic_score_gemma":0.03653253,"domain_scores_codex":[0.9988796,0.0001580608,0.0001454725,0.0003841367,0.0002469748,0.0001857078],"domain_scores_gemma":[0.9972838,0.0007892598,0.0002581842,0.0007028084,0.0006617905,0.000304071],"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":[0.00002805319,0.00001099007,0.0003503754,0.0005358425,0.00001508457,0.00001374052,0.00002191234,0.0001215369,0.0001042853,0.0003751187,0.9971135,0.001309634],"study_design_scores_gemma":[0.00007320104,0.000008144953,0.00190084,0.0002038465,0.00001496977,0.00003482842,0.00007234568,0.000134595,0.0001780874,0.0007766553,0.996585,0.00001744512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000364455,0.00002539385,0.00003729156,0.00003345189,0.00001061722,0.000004829517,0.9989931,0.0002893558,0.0005695598],"genre_scores_gemma":[0.0001456126,0.00003358391,0.0001643182,0.00004317703,0.000003214039,0.000040291,0.9990093,0.0001237407,0.0004367501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384702,"threshold_uncertainty_score":0.5403711,"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."}}