{"id":"W6887162723","doi":"10.15468/dl.sdu3j2","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); Listing (finance); 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":[0.00111012,0.002181329,0.001834182,0.005785781,0.0009861843,0.002702091,0.003068754,0.002061135,0.2031848],"category_scores_gemma":[0.006799432,0.00105244,0.001181483,0.01067727,0.0004693027,0.002361031,0.002814855,0.002067299,0.2565583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736928,"about_ca_system_score_gemma":0.00256778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02152764,"about_ca_topic_score_gemma":0.0341145,"domain_scores_codex":[0.9990001,0.0001244526,0.0001262886,0.0003345269,0.0002381494,0.0001764959],"domain_scores_gemma":[0.9972765,0.0007656222,0.0002580413,0.0007032283,0.0006713264,0.0003252374],"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":[0.00002742752,0.000009760754,0.0002976898,0.0005678001,0.00001365443,0.00001327642,0.00002074785,0.00009996669,0.0001047575,0.0003506598,0.9971449,0.001349402],"study_design_scores_gemma":[0.00007463747,0.000007177895,0.001704299,0.0002174753,0.00001448305,0.00003182243,0.00005961502,0.0001175763,0.0001866623,0.0007071149,0.9968625,0.00001652125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000249388,0.00001774076,0.00003156468,0.00002494942,0.000007661729,0.000004653269,0.9990281,0.000318401,0.0005420172],"genre_scores_gemma":[0.0001242354,0.00002790072,0.0001725358,0.00003654691,0.000002766973,0.00004223979,0.998993,0.0001634449,0.0004374062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7968152,"threshold_uncertainty_score":0.6797209,"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."}}