{"id":"W6905907372","doi":"10.15468/dl.saxhgn","title":"Occurrence Download","year":2021,"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); State (computer science); 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":[0.001029174,0.002116783,0.00176776,0.00552483,0.001042078,0.002646153,0.003056653,0.002096039,0.1603529],"category_scores_gemma":[0.005963251,0.0009631789,0.001246081,0.01038215,0.0004680915,0.002321022,0.002778106,0.002033316,0.2341098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676618,"about_ca_system_score_gemma":0.002466185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193467,"about_ca_topic_score_gemma":0.03716645,"domain_scores_codex":[0.9989035,0.0001477854,0.0001408417,0.0003787183,0.0002403791,0.0001886833],"domain_scores_gemma":[0.997481,0.0006645704,0.0002387726,0.000667405,0.00064554,0.0003026102],"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":[0.00003376641,0.00001179631,0.0003613397,0.0006286171,0.00001687016,0.00001544478,0.00002357581,0.0001241795,0.0001335388,0.0003798492,0.9968004,0.001470646],"study_design_scores_gemma":[0.00007559094,0.000008414377,0.001755709,0.0002000274,0.00001563729,0.00003653903,0.00006440078,0.0001318609,0.0002011658,0.0007643714,0.9967278,0.0000184457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003812875,0.00002806201,0.00003775036,0.00002918981,0.000009938817,0.000005069754,0.9989045,0.000359544,0.0005877856],"genre_scores_gemma":[0.0001380214,0.00003317076,0.0001682856,0.00004058596,0.000003000098,0.00003740698,0.9990544,0.000135568,0.0003895167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396471,"threshold_uncertainty_score":0.536434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}