{"id":"W6887145320","doi":"10.15468/dl.qz3z2d","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","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":[0.001028293,0.001920672,0.001597317,0.00498779,0.000913663,0.002597405,0.002758781,0.002048315,0.1521915],"category_scores_gemma":[0.006207531,0.0008981669,0.001238035,0.009817773,0.0004498426,0.002211578,0.002405033,0.00191932,0.2179163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557365,"about_ca_system_score_gemma":0.002304068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128704,"about_ca_topic_score_gemma":0.03319075,"domain_scores_codex":[0.9989108,0.0001543822,0.0001388664,0.0003862927,0.000234278,0.000175511],"domain_scores_gemma":[0.9973821,0.0007802963,0.0002473054,0.0006806719,0.0006207505,0.0002888664],"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":[0.00002986162,0.00001144445,0.0003973125,0.000547355,0.00001610855,0.00001386234,0.00002139316,0.0001312674,0.0001054958,0.0003527245,0.9970387,0.001334464],"study_design_scores_gemma":[0.00008066693,0.000009557913,0.002101005,0.0002142503,0.00001652572,0.00003625459,0.00007521416,0.0001607569,0.0001917396,0.0008354587,0.9962597,0.00001891312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003888615,0.00002628859,0.00003792516,0.00003378104,0.00001104517,0.000004842837,0.9990017,0.0003113832,0.0005341916],"genre_scores_gemma":[0.0001622911,0.00003434866,0.0001701776,0.00004523239,0.000003693452,0.00004144306,0.9989709,0.0001274629,0.0004444896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478085,"threshold_uncertainty_score":0.5091314,"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."}}