{"id":"W6962161024","doi":"10.15468/dl.xpbert","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); Range (aeronautics); Download; Set (abstract data type); Key (lock)","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":[0.0009786964,0.002130636,0.001559526,0.005172818,0.001011861,0.002686084,0.002875946,0.002015098,0.1602187],"category_scores_gemma":[0.006019583,0.0009210786,0.001292074,0.009880289,0.0004286501,0.002434698,0.00273869,0.00189662,0.2231455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532476,"about_ca_system_score_gemma":0.002477254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081836,"about_ca_topic_score_gemma":0.03638995,"domain_scores_codex":[0.9988384,0.0001578801,0.0001537726,0.0004066578,0.0002512995,0.0001920604],"domain_scores_gemma":[0.9974084,0.0006732072,0.0002454734,0.0006950891,0.0006918822,0.0002858469],"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":[0.00003527581,0.00001062924,0.0003481385,0.0005525936,0.00001619162,0.00001453431,0.00002046731,0.0001169775,0.0001284273,0.0004167861,0.9969156,0.001424395],"study_design_scores_gemma":[0.00007095023,0.000008703666,0.001588507,0.0001682552,0.00001477505,0.00003482665,0.00005374863,0.0001298838,0.0001918325,0.0008211714,0.9968994,0.00001795522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003877097,0.00002812193,0.0000422844,0.00003431231,0.00001225325,0.000005114292,0.9988012,0.0003740995,0.0006638507],"genre_scores_gemma":[0.0001398793,0.00003603889,0.0001976644,0.0000512299,0.000003790142,0.00003770204,0.9988939,0.0001436238,0.0004961718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397813,"threshold_uncertainty_score":0.5359849,"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."}}