{"id":"W6906072226","doi":"10.15468/dl.spcq39","title":"Occurrence Download","year":2023,"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; The Internet","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":[0.0009836686,0.001960025,0.001572354,0.005254266,0.001021946,0.002656485,0.002799023,0.002083056,0.1620776],"category_scores_gemma":[0.006378407,0.0008928304,0.001289411,0.009817606,0.0004561441,0.002344916,0.002541932,0.001956916,0.2273328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640212,"about_ca_system_score_gemma":0.002384414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0250106,"about_ca_topic_score_gemma":0.03898834,"domain_scores_codex":[0.9989655,0.0001416954,0.0001283211,0.0003599279,0.0002306878,0.0001738354],"domain_scores_gemma":[0.9973716,0.0007930499,0.0002253715,0.0006728274,0.0006579089,0.0002792221],"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":[0.00002726909,0.00001170011,0.000406642,0.0005563674,0.00001397112,0.00001592544,0.00002520221,0.0001200931,0.0001137311,0.000346298,0.9968762,0.001486573],"study_design_scores_gemma":[0.00006541598,0.000008972454,0.002042302,0.0002235298,0.00001551765,0.00003949382,0.00008759781,0.0001587741,0.0001939708,0.0007523344,0.9963939,0.00001837851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000429916,0.00002904453,0.00004412501,0.0000392724,0.00001225131,0.000005903692,0.9987788,0.000398694,0.0006489462],"genre_scores_gemma":[0.0001682419,0.00003644399,0.0001986766,0.00004709362,0.0000036275,0.00004631171,0.9988565,0.0001528437,0.0004901896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379224,"threshold_uncertainty_score":0.5422035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}