{"id":"W6943216088","doi":"10.15468/dl.x3ag8e","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; Data set","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":[0.0008798208,0.0018244,0.001525868,0.005056032,0.001016069,0.002743112,0.002714745,0.001886665,0.1695977],"category_scores_gemma":[0.006127667,0.0009014146,0.001165665,0.01030738,0.0004286064,0.002427286,0.002529558,0.002008381,0.2367309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605683,"about_ca_system_score_gemma":0.00245663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292212,"about_ca_topic_score_gemma":0.03792659,"domain_scores_codex":[0.9989717,0.0001341286,0.000129807,0.0003689857,0.0002293657,0.0001660624],"domain_scores_gemma":[0.9976504,0.0006561036,0.00022017,0.0006124161,0.0005952066,0.0002656431],"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":[0.00002447928,0.000008970264,0.0003501109,0.0004846429,0.00001266398,0.00001320921,0.00002149225,0.0001067769,0.00008762933,0.0003655947,0.9970728,0.001451542],"study_design_scores_gemma":[0.00005439591,0.000006335593,0.00155266,0.0001817163,0.0000123722,0.00003343882,0.00007068508,0.0001327298,0.0001564807,0.0007357103,0.997048,0.0000156092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003812317,0.00002931628,0.00004493443,0.00003901012,0.00001279992,0.00000497138,0.9986907,0.0004043873,0.0007358564],"genre_scores_gemma":[0.000160417,0.00003927827,0.0001987571,0.0000465879,0.000003699878,0.00003984126,0.9987545,0.0001662069,0.0005907441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8304024,"threshold_uncertainty_score":0.5673606,"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."}}