{"id":"W6887317147","doi":"10.15468/dl.z9ugag","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); Confidentiality","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":[0.001028224,0.002035428,0.001636266,0.004882092,0.001037037,0.002700445,0.002904888,0.002187175,0.1551233],"category_scores_gemma":[0.006246762,0.0009504783,0.001229058,0.009702724,0.0004572881,0.002586054,0.002681551,0.002147806,0.2170017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155624,"about_ca_system_score_gemma":0.002295667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000662,"about_ca_topic_score_gemma":0.03474506,"domain_scores_codex":[0.9988385,0.0001678483,0.0001461076,0.0004159209,0.0002460248,0.0001856917],"domain_scores_gemma":[0.9973099,0.0007770598,0.0002427271,0.000724384,0.0006456829,0.0003001536],"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":[0.00002818421,0.0000115806,0.0003540168,0.000524431,0.00001436394,0.00001411425,0.00002206374,0.0001259636,0.00009832538,0.0003753232,0.9971943,0.001237264],"study_design_scores_gemma":[0.0000739836,0.000008208523,0.001692405,0.0001900535,0.00001377266,0.0000340422,0.00007359732,0.0001596084,0.0001652208,0.0008564052,0.9967145,0.00001831843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003899574,0.0000258864,0.00004448627,0.00003708561,0.0000123385,0.000005301804,0.9988748,0.0003495892,0.0006114821],"genre_scores_gemma":[0.0001553877,0.00003263583,0.0001985745,0.00004674247,0.00000354,0.00004249181,0.9989203,0.0001432349,0.0004570625],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448766,"threshold_uncertainty_score":0.5189393,"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."}}