{"id":"W6924551662","doi":"10.15468/dl.k2g4vd","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; State (computer science)","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":[0.0009898546,0.001920514,0.001570726,0.00486744,0.001005896,0.00254756,0.002707161,0.002068041,0.165219],"category_scores_gemma":[0.006006015,0.000910602,0.001230199,0.009473096,0.0004574986,0.002328824,0.002603237,0.00201073,0.2363958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536916,"about_ca_system_score_gemma":0.002275702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046546,"about_ca_topic_score_gemma":0.03252143,"domain_scores_codex":[0.9989954,0.0001395306,0.0001288222,0.0003509292,0.0002157177,0.0001696168],"domain_scores_gemma":[0.9974548,0.000735477,0.0002280293,0.0006666769,0.0006276042,0.0002873421],"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":[0.00002847576,0.00001173732,0.0003849137,0.0005504973,0.00001382923,0.00001490858,0.00002398037,0.0001296801,0.0001205832,0.00035847,0.996917,0.001445789],"study_design_scores_gemma":[0.0000733183,0.000009247302,0.001968455,0.0002096825,0.00001448286,0.00003664819,0.00008141293,0.0001594484,0.0001860169,0.0007543478,0.9964893,0.00001775349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004348137,0.00002595973,0.00004426419,0.00003786127,0.00001355781,0.000005556647,0.9988351,0.0003688294,0.0006253832],"genre_scores_gemma":[0.0001577416,0.00003321203,0.0001959933,0.00004629646,0.000003814925,0.00004303669,0.9989104,0.0001438022,0.0004655831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347809,"threshold_uncertainty_score":0.5527127,"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."}}