{"id":"W6905940694","doi":"10.15468/dl.m7rz2b","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); Alien; Range (aeronautics); 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":[0.001002293,0.001931909,0.001592802,0.005006817,0.0009998827,0.0026305,0.002695908,0.002069644,0.1726527],"category_scores_gemma":[0.006324796,0.0009104216,0.001247895,0.009191522,0.0004432362,0.00231772,0.002617862,0.001972438,0.2324867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543939,"about_ca_system_score_gemma":0.002270541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108051,"about_ca_topic_score_gemma":0.03345697,"domain_scores_codex":[0.9989987,0.0001403803,0.0001235947,0.0003575827,0.0002122283,0.0001675101],"domain_scores_gemma":[0.99748,0.0007681406,0.000223052,0.000642868,0.0006080524,0.0002778795],"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":[0.00002743476,0.0000107099,0.0003979247,0.0005696639,0.00001505018,0.00001543975,0.00002353428,0.000118281,0.0001153291,0.0003378119,0.9970155,0.001353376],"study_design_scores_gemma":[0.00007357641,0.000009229001,0.002040751,0.0002204626,0.0000158966,0.00003909869,0.00008134765,0.0001583411,0.0001821464,0.0007440904,0.9964169,0.00001802368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004036426,0.00002785164,0.00004173279,0.00003799343,0.00001296868,0.000005560287,0.9988709,0.0003767176,0.0005859606],"genre_scores_gemma":[0.000172997,0.00003650322,0.0001963271,0.00005190257,0.00000426091,0.00004840099,0.9988411,0.0001602013,0.000488339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273473,"threshold_uncertainty_score":0.5775807,"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."}}