{"id":"W6943768773","doi":"10.15468/dl.vqvbft","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); Confidentiality; Danish","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":[0.000920033,0.00185435,0.001612789,0.005087987,0.001067556,0.002792128,0.002775672,0.00202752,0.1921916],"category_scores_gemma":[0.006588598,0.0009975762,0.00123534,0.009982712,0.0004459715,0.002563071,0.002750732,0.002062597,0.2481376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575975,"about_ca_system_score_gemma":0.002403905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856047,"about_ca_topic_score_gemma":0.02987977,"domain_scores_codex":[0.9989704,0.0001381742,0.0001418759,0.0003697585,0.0002085677,0.0001713623],"domain_scores_gemma":[0.9975119,0.0007460383,0.0002185544,0.0006284058,0.0006324811,0.0002626519],"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":[0.00002694372,0.000009649519,0.0003686826,0.0006684737,0.00001513875,0.00001436736,0.00002560195,0.0001151443,0.0001075139,0.0003766895,0.9964915,0.001780248],"study_design_scores_gemma":[0.00005917401,0.000006825507,0.001457539,0.000214613,0.00001353991,0.00003434348,0.00006745457,0.0001297663,0.0001504442,0.0006617411,0.9971898,0.00001491207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003917328,0.00003292793,0.00005133051,0.00003817489,0.00001394267,0.000006008764,0.998735,0.0003931117,0.0006902425],"genre_scores_gemma":[0.0001688592,0.00004702732,0.0002331584,0.00005487433,0.000004171624,0.00005463272,0.9986848,0.0001853247,0.0005672319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8078085,"threshold_uncertainty_score":0.6429448,"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."}}