{"id":"W6886959217","doi":"10.15468/dl.k2fg5x","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); Atlas (anatomy); Marsh; Range (aeronautics)","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":[0.0009079908,0.002089412,0.001807822,0.006199555,0.001010032,0.003065055,0.002821354,0.001955772,0.2237497],"category_scores_gemma":[0.006950408,0.0009293765,0.00146397,0.0119366,0.0003858094,0.002961311,0.00290973,0.001848627,0.3102391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673733,"about_ca_system_score_gemma":0.002258538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02522116,"about_ca_topic_score_gemma":0.03729591,"domain_scores_codex":[0.9987767,0.0001334028,0.0001762976,0.0004163631,0.0003008397,0.0001962862],"domain_scores_gemma":[0.9970731,0.0007487201,0.0002487884,0.0007424085,0.0008822223,0.0003047957],"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":[0.00003412927,0.000009729974,0.0004032788,0.0005640864,0.0000149755,0.00001760297,0.00002240095,0.0001285029,0.0001085779,0.0003618722,0.996076,0.002258779],"study_design_scores_gemma":[0.00005153537,0.000007747771,0.001602679,0.0001697371,0.0000131917,0.00003601411,0.00007567721,0.0001843762,0.0001712389,0.0006698603,0.9970017,0.00001617177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004252369,0.00002962769,0.00006848099,0.00003784913,0.00001464494,0.000006039395,0.9981855,0.0007008638,0.0009144148],"genre_scores_gemma":[0.0001669456,0.00003989999,0.0002692154,0.00004229325,0.000004537695,0.00004008413,0.9985237,0.0002414307,0.0006718814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7762504,"threshold_uncertainty_score":0.7485172,"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."}}