{"id":"W6943120088","doi":"10.15468/dl.nmqk4g","title":"Occurrence Download","year":2022,"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); Data set; 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":[0.0009738787,0.002037836,0.00165948,0.005488106,0.001055822,0.002695571,0.00281196,0.001914407,0.1615733],"category_scores_gemma":[0.005962866,0.0009183625,0.001166428,0.01173938,0.0004428772,0.002415705,0.002622204,0.002006795,0.2363947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871143,"about_ca_system_score_gemma":0.002864816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03632766,"about_ca_topic_score_gemma":0.06139922,"domain_scores_codex":[0.9989065,0.0001362741,0.0001284048,0.0003774949,0.0002607333,0.0001906096],"domain_scores_gemma":[0.9973002,0.000686512,0.0002374213,0.0006864826,0.0007698167,0.00031962],"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":[0.00002519547,0.000008732794,0.0003343622,0.0004640172,0.00001322027,0.00001259147,0.00002154742,0.0001118543,0.00009604713,0.0003526442,0.9972847,0.001275193],"study_design_scores_gemma":[0.00005720901,0.000006124676,0.001689909,0.0001717755,0.00001231375,0.00002807293,0.00007026434,0.0001221135,0.0001662114,0.0007357575,0.9969231,0.00001698435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000299094,0.00002108811,0.0000367352,0.00002676746,0.000009024344,0.000004146254,0.9989427,0.0003298012,0.0005999949],"genre_scores_gemma":[0.0001314042,0.00002979985,0.0001729439,0.00003576227,0.000002952124,0.00003407462,0.9989638,0.0001506478,0.000478579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384267,"threshold_uncertainty_score":0.5405166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}