{"id":"W6962177769","doi":"10.15468/dl.v8b4ed","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); Field (mathematics)","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":[0.000934495,0.002005981,0.00153032,0.004770674,0.001007083,0.002444246,0.002771846,0.001945416,0.1611892],"category_scores_gemma":[0.005803726,0.0009408793,0.001152569,0.009567407,0.0004516833,0.002314817,0.002623011,0.001962443,0.2196215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506524,"about_ca_system_score_gemma":0.002181973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191461,"about_ca_topic_score_gemma":0.03230544,"domain_scores_codex":[0.9989869,0.0001370145,0.0001304502,0.0003675759,0.0002073295,0.000170784],"domain_scores_gemma":[0.9977617,0.0006127379,0.0002160385,0.0005836692,0.000563956,0.0002619837],"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":[0.00003285195,0.00001177435,0.0003771004,0.0005419272,0.00001380718,0.00001418889,0.00002229626,0.0001225492,0.0001296241,0.0003803389,0.9969038,0.001449713],"study_design_scores_gemma":[0.0000779421,0.000009563551,0.00180833,0.0001863788,0.00001390881,0.0000373094,0.00006795995,0.0001450029,0.0001936907,0.0008141859,0.9966269,0.00001888777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004777459,0.00002637632,0.00004382943,0.00003239556,0.00001288525,0.000005074894,0.9988268,0.0003640768,0.0006407654],"genre_scores_gemma":[0.000157035,0.00003277424,0.0001988565,0.00004352424,0.000003493566,0.00004258666,0.9989088,0.0001531428,0.0004599054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388108,"threshold_uncertainty_score":0.5392316,"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."}}