{"id":"W6887171975","doi":"10.15468/dl.qsv54g","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); Order (exchange); 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":[0.0009789687,0.001993419,0.001593439,0.005197858,0.001043294,0.002675506,0.002898866,0.002027592,0.1508164],"category_scores_gemma":[0.006047949,0.00093439,0.00119181,0.01029445,0.0004426246,0.002452935,0.002668207,0.002035237,0.212394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592975,"about_ca_system_score_gemma":0.002466812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341396,"about_ca_topic_score_gemma":0.04018114,"domain_scores_codex":[0.9988546,0.0001530439,0.000150655,0.0003983331,0.0002586274,0.00018475],"domain_scores_gemma":[0.9974924,0.0006929676,0.0002323913,0.0006720143,0.0006287341,0.0002816263],"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":[0.00002782545,0.00001050149,0.0003730649,0.0005122526,0.00001470415,0.00001565623,0.00002504674,0.0001213283,0.0001090491,0.0004003896,0.9970324,0.001357729],"study_design_scores_gemma":[0.00006176894,0.00000694548,0.001705455,0.0001791538,0.00001356251,0.00003889604,0.00007645966,0.000144632,0.0001800824,0.0007570474,0.996819,0.00001704445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004044894,0.00002638784,0.00004945738,0.00003410677,0.00001159029,0.000004995981,0.9987743,0.0003946627,0.0006639959],"genre_scores_gemma":[0.0001465921,0.00003151497,0.0001962607,0.00003930346,0.000003002965,0.00003592929,0.9989473,0.000148203,0.0004519443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491836,"threshold_uncertainty_score":0.5045312,"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."}}