{"id":"W6943388828","doi":"10.15468/dl.shqh6a","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); Range (aeronautics); Alien; 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":[0.0009563609,0.001876696,0.001520561,0.004595916,0.001009289,0.002554938,0.002673586,0.002033815,0.1745436],"category_scores_gemma":[0.006240582,0.0009059634,0.00121322,0.009268443,0.0004391653,0.002536612,0.002655166,0.002008924,0.2499459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532097,"about_ca_system_score_gemma":0.002312899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086635,"about_ca_topic_score_gemma":0.03498228,"domain_scores_codex":[0.9989657,0.0001473074,0.0001274457,0.0003694303,0.0002202795,0.0001697736],"domain_scores_gemma":[0.997291,0.0007566832,0.0002310308,0.0007294558,0.0006951871,0.0002966749],"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":[0.00002579817,0.00001067394,0.0003358918,0.0004696846,0.0000116259,0.00001263451,0.0000211702,0.0001096065,0.00009848669,0.0003386422,0.9972427,0.00132315],"study_design_scores_gemma":[0.00006479756,0.000008329917,0.001674703,0.0001858879,0.00001195944,0.00003054959,0.0000729512,0.0001463961,0.0001661618,0.0007670466,0.9968548,0.00001632537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004152601,0.0000253781,0.00004545677,0.00004236249,0.00001424439,0.000005885519,0.9986848,0.0004186059,0.0007216315],"genre_scores_gemma":[0.000158705,0.00003387542,0.0002083565,0.00005231269,0.000004104048,0.00004457169,0.9987869,0.0001709731,0.0005402709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8254564,"threshold_uncertainty_score":0.5839067,"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."}}