{"id":"W6943359889","doi":"10.15468/dl.z8zebc","title":"Occurrence Download","year":2024,"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); 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":[0.001008656,0.002092641,0.001725786,0.005147356,0.001039942,0.002767637,0.003087441,0.002144662,0.1511036],"category_scores_gemma":[0.006077609,0.0009973752,0.001247871,0.01056157,0.0004609685,0.002567405,0.002693185,0.002143145,0.2127446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687195,"about_ca_system_score_gemma":0.002488655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353981,"about_ca_topic_score_gemma":0.03882047,"domain_scores_codex":[0.9988845,0.0001524241,0.0001423778,0.0003907966,0.0002537137,0.0001760878],"domain_scores_gemma":[0.9975405,0.0007008527,0.0002277698,0.0006726456,0.0005820907,0.0002762196],"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":[0.00002887817,0.00001110326,0.0003475696,0.0005267145,0.00001635919,0.00001478853,0.0000248636,0.0001271384,0.0001120623,0.0004366121,0.9970096,0.001344334],"study_design_scores_gemma":[0.00006768766,0.00000704578,0.001616285,0.0001659162,0.00001427649,0.00003597495,0.00007046113,0.0001394799,0.0001801427,0.0008175658,0.9968677,0.00001735286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004113546,0.00002790868,0.00005002202,0.00003616566,0.00001122214,0.000004814241,0.9987568,0.0004174026,0.0006545981],"genre_scores_gemma":[0.0001458765,0.00003295462,0.0001971666,0.00004079444,0.000002811325,0.00003569281,0.9989384,0.0001573608,0.0004489588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488964,"threshold_uncertainty_score":0.5054921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}