{"id":"W6961957646","doi":"10.15468/dl.rbphcq","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Soil and Environmental Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); State (computer science); 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":[0.0009400384,0.002006693,0.001573351,0.004738588,0.0008930005,0.002466455,0.00269426,0.001924268,0.1491629],"category_scores_gemma":[0.005678202,0.0009096543,0.001121177,0.00979231,0.0004302766,0.002158621,0.002309636,0.001939949,0.2015039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555708,"about_ca_system_score_gemma":0.002243597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02258956,"about_ca_topic_score_gemma":0.03631012,"domain_scores_codex":[0.998993,0.0001439914,0.0001329492,0.0003619339,0.0002104484,0.0001578121],"domain_scores_gemma":[0.9976966,0.0006649549,0.0002289297,0.0005533539,0.0005870938,0.0002690715],"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":[0.00003097583,0.00001137188,0.0003615459,0.0005067054,0.00001432907,0.00001266613,0.00001903674,0.0001299893,0.00009078708,0.0003412761,0.9972362,0.001245222],"study_design_scores_gemma":[0.00009156668,0.000008735224,0.001791392,0.0001717339,0.00001468867,0.00003316388,0.00006012028,0.0001736361,0.000161695,0.0007913164,0.9966846,0.00001738438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003974756,0.00002408777,0.00003787168,0.00002974176,0.000009935904,0.00000469411,0.9989802,0.0003108128,0.0005629178],"genre_scores_gemma":[0.0001538208,0.00003366711,0.0001853475,0.00004341008,0.000003253658,0.0000416951,0.9989459,0.0001405044,0.0004525512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8508371,"threshold_uncertainty_score":0.4989997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693334229617814,"score_gpt":0.1837054671086779,"score_spread":0.1667721248124998,"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."}}