{"id":"W6961855584","doi":"10.15468/dl.kgr2dg","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; Alien; Zhàng; Range (aeronautics)","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":[0.0009126425,0.002020173,0.001597443,0.004797061,0.0009260693,0.002412661,0.002621207,0.001929644,0.163721],"category_scores_gemma":[0.00607671,0.0009079268,0.001221174,0.00959732,0.0004154924,0.002142177,0.002434052,0.001804292,0.207201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515418,"about_ca_system_score_gemma":0.002281487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122929,"about_ca_topic_score_gemma":0.03308823,"domain_scores_codex":[0.9990054,0.0001341707,0.0001304355,0.0003618616,0.0002062176,0.0001619056],"domain_scores_gemma":[0.9977273,0.0006875276,0.000224166,0.000546985,0.0005697739,0.0002442324],"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":[0.00003440894,0.00001166175,0.0004075898,0.0006657523,0.00001638618,0.00001496664,0.00002189601,0.0001380313,0.0001250452,0.0003511756,0.9967229,0.001490333],"study_design_scores_gemma":[0.00008927247,0.0000108648,0.002039793,0.0002243056,0.00001768888,0.00003667325,0.00006873081,0.0001701459,0.0002002272,0.0007998736,0.9963228,0.00001969984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003869392,0.00002651332,0.00003647348,0.00003142849,0.00001085022,0.000005036333,0.9989814,0.0003311806,0.0005384047],"genre_scores_gemma":[0.0001602669,0.00003740607,0.0001933756,0.00004812535,0.000003482547,0.00004690976,0.9989024,0.000141044,0.0004669098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.836279,"threshold_uncertainty_score":0.5477012,"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."}}