{"id":"W6924561937","doi":"10.15468/dl.njnetf","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); Data set","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":[0.0009942089,0.00200684,0.001557475,0.004784822,0.001016147,0.002660619,0.002809748,0.002183191,0.1659467],"category_scores_gemma":[0.006111875,0.0009211769,0.001270057,0.009038127,0.0004470366,0.00240263,0.002552278,0.002040438,0.2331321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581406,"about_ca_system_score_gemma":0.002296062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219952,"about_ca_topic_score_gemma":0.03486143,"domain_scores_codex":[0.9990354,0.0001348194,0.0001167289,0.0003428439,0.0002117508,0.000158518],"domain_scores_gemma":[0.997548,0.0007533794,0.0002005554,0.0006322396,0.0005968227,0.0002689247],"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":[0.00002482339,0.00001152346,0.0003604548,0.0005073808,0.00001324893,0.00001529635,0.00002208261,0.0001154119,0.0001076892,0.0003307072,0.997155,0.001336424],"study_design_scores_gemma":[0.00007356309,0.000009130395,0.001924269,0.0002143001,0.00001480855,0.00003947041,0.00008233421,0.0001846354,0.0001938591,0.0008201572,0.9964247,0.0000187323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439119,0.0000281696,0.00004686981,0.00004244604,0.00001362693,0.000006273438,0.9987325,0.0004296947,0.0006565034],"genre_scores_gemma":[0.0001715954,0.000034972,0.0002118718,0.00005383994,0.00000409952,0.00005100206,0.9988159,0.0001635461,0.0004932513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8340533,"threshold_uncertainty_score":0.5551471,"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."}}