{"id":"W6905870794","doi":"10.15468/dl.mf4j96","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; Species name","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":[0.001034089,0.001925383,0.001588311,0.004613094,0.001016725,0.002589864,0.002771112,0.00211499,0.1603324],"category_scores_gemma":[0.006343005,0.0009139538,0.001288395,0.008960009,0.0004471594,0.002379401,0.002556564,0.001988019,0.2240043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527953,"about_ca_system_score_gemma":0.002266177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993957,"about_ca_topic_score_gemma":0.03210355,"domain_scores_codex":[0.9989691,0.0001470243,0.000127556,0.0003676445,0.0002245257,0.0001642284],"domain_scores_gemma":[0.9973854,0.0008149319,0.0002218596,0.0006959535,0.0006018041,0.0002799801],"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":[0.00002776591,0.00001147009,0.0003666594,0.000535147,0.00001439422,0.00001467437,0.00002215083,0.0001238085,0.0001118453,0.0003453082,0.9969923,0.001434424],"study_design_scores_gemma":[0.00007486164,0.000009533869,0.001917106,0.0002105697,0.00001523707,0.00003897128,0.00007444529,0.0001779376,0.0002023936,0.0007817389,0.9964791,0.00001813304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004702359,0.00003150885,0.00005117313,0.0000436129,0.00001479041,0.000006361499,0.9986713,0.0004665738,0.0006675845],"genre_scores_gemma":[0.0001738251,0.00003765683,0.0002138593,0.00005353748,0.000004121349,0.00004917643,0.9988146,0.0001655951,0.0004876989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396676,"threshold_uncertainty_score":0.5363654,"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."}}