{"id":"W6943584663","doi":"10.15468/dl.sxz6m4","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); 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":[0.001033771,0.001975655,0.001605185,0.005030167,0.001096331,0.002790304,0.00304852,0.002179424,0.1607266],"category_scores_gemma":[0.006211065,0.0009329515,0.001262542,0.009671286,0.0004555506,0.002533937,0.002670652,0.002155115,0.2402439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644291,"about_ca_system_score_gemma":0.002454475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194363,"about_ca_topic_score_gemma":0.03286659,"domain_scores_codex":[0.9988883,0.0001612692,0.0001411596,0.0003975112,0.0002391879,0.0001726062],"domain_scores_gemma":[0.9975327,0.0007043955,0.0002114295,0.0006702487,0.0006050846,0.0002761838],"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":[0.00002625107,0.00001158376,0.0003268065,0.0005089628,0.00001338709,0.00001392954,0.00002099172,0.0001067649,0.000103276,0.0003588716,0.997144,0.001365183],"study_design_scores_gemma":[0.00006487475,0.000008150813,0.001570325,0.0001923169,0.00001348492,0.00003741452,0.00007087863,0.0001500744,0.0001799837,0.0008000255,0.9968951,0.0000174063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004002335,0.00003026256,0.00004871168,0.00004215966,0.00001345635,0.000006284381,0.9987435,0.0004088315,0.0006668459],"genre_scores_gemma":[0.0001385251,0.00003601924,0.0001989313,0.00004929547,0.000003591015,0.00004691473,0.9988825,0.000144318,0.0004999454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8392734,"threshold_uncertainty_score":0.5376841,"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."}}