{"id":"W6962371174","doi":"10.15468/dl.rhmin2","title":"GBIF Occurrence Download","year":2016,"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); Range (aeronautics); Set (abstract data type); Order (exchange); 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":[0.001073793,0.002523907,0.001820393,0.007891268,0.0009718692,0.00285386,0.002868121,0.002012334,0.1681085],"category_scores_gemma":[0.006274004,0.001130466,0.001405599,0.01431867,0.0005276919,0.00277112,0.003314875,0.001885367,0.2183737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916592,"about_ca_system_score_gemma":0.003165421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495044,"about_ca_topic_score_gemma":0.0449159,"domain_scores_codex":[0.9987234,0.0001195254,0.0001750418,0.0004264067,0.0003106381,0.0002449084],"domain_scores_gemma":[0.9965663,0.0007303285,0.0003750803,0.0009107914,0.001009592,0.0004079551],"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":[0.00003637342,0.00001023285,0.0004019765,0.000471384,0.00001434434,0.00001570804,0.00002530431,0.000103448,0.0001187929,0.0003601266,0.9971097,0.00133259],"study_design_scores_gemma":[0.0000910965,0.00001058708,0.002792128,0.0001984795,0.00001445884,0.00004014395,0.00008116706,0.0001394072,0.000219274,0.000731445,0.9956604,0.00002140023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004453395,0.00002323995,0.00003005838,0.00003039348,0.00001262371,0.000005019721,0.9987447,0.0004725208,0.0006369028],"genre_scores_gemma":[0.0001586628,0.00003371731,0.00015228,0.00003843044,0.00000403382,0.00002853743,0.998956,0.0001803542,0.0004479738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318915,"threshold_uncertainty_score":0.5623788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716056414365176,"score_gpt":0.2282829294084791,"score_spread":0.2111223652648273,"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."}}