{"id":"W6962401987","doi":"10.15468/dl.y3bhtk","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)","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":[0.00100748,0.002006924,0.00153586,0.00464801,0.00107198,0.002628701,0.002805,0.002226354,0.1553366],"category_scores_gemma":[0.006057485,0.000871251,0.001305576,0.00855137,0.0004556337,0.002506407,0.002634416,0.002047489,0.2275298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547703,"about_ca_system_score_gemma":0.002288241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137883,"about_ca_topic_score_gemma":0.03539409,"domain_scores_codex":[0.9989538,0.0001500928,0.0001253968,0.0003718984,0.0002283152,0.0001705177],"domain_scores_gemma":[0.9974836,0.0007182407,0.0002036466,0.0006884545,0.0006298273,0.0002762065],"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":[0.00002889231,0.00001272909,0.0003841955,0.0004596017,0.00001240082,0.00001533883,0.00002220003,0.0001190107,0.0001043466,0.0003381844,0.997085,0.001418145],"study_design_scores_gemma":[0.00007211982,0.000009806634,0.001875826,0.0001948965,0.00001342873,0.00004006382,0.00008557183,0.0001887672,0.0001954804,0.0008262686,0.9964789,0.00001896036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005344037,0.00003005577,0.0000533505,0.00004834939,0.00001616334,0.000007024762,0.9985579,0.0005037729,0.0007299858],"genre_scores_gemma":[0.0001776236,0.00003298311,0.0002228182,0.00005264467,0.000004264891,0.0000481545,0.9987967,0.0001599765,0.0005048609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8446634,"threshold_uncertainty_score":0.5196527,"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."}}