{"id":"W6962376269","doi":"10.15468/dl.yptf8f","title":"Occurrence Download","year":2023,"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); Set (abstract data type)","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":[0.001023113,0.001981655,0.001632375,0.005002631,0.0009914709,0.002605334,0.002882525,0.002063338,0.1484221],"category_scores_gemma":[0.006037484,0.000961326,0.001198623,0.01032831,0.0004406413,0.002344098,0.002504732,0.002059475,0.2085015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637595,"about_ca_system_score_gemma":0.002434693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232664,"about_ca_topic_score_gemma":0.03690812,"domain_scores_codex":[0.9989324,0.0001399701,0.0001471057,0.0003629224,0.0002450274,0.0001725102],"domain_scores_gemma":[0.997519,0.0006972911,0.0002323303,0.0006571843,0.000609469,0.0002847858],"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":[0.0000288407,0.0000116315,0.000378281,0.0005288717,0.00001502169,0.00001490355,0.00002405139,0.0001316806,0.0001226654,0.0004082895,0.9969386,0.001397252],"study_design_scores_gemma":[0.00007055194,0.000007470081,0.001792126,0.0001837088,0.00001382955,0.00003597774,0.00007227988,0.0001555552,0.0001994178,0.000781369,0.9966704,0.00001730949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004079394,0.00002457801,0.00004742155,0.00003321506,0.00001132917,0.000005090028,0.9988635,0.000360075,0.0006141312],"genre_scores_gemma":[0.0001490344,0.00003113734,0.0001901318,0.00003962712,0.000002854865,0.0000367616,0.999006,0.0001372691,0.0004071219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515779,"threshold_uncertainty_score":0.4965212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}