{"id":"W6962162177","doi":"10.15468/dl.k8djwx","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); Set (abstract data type); 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":[0.000889595,0.002034669,0.001605375,0.005104543,0.0009037899,0.002542401,0.002630394,0.0018032,0.1759812],"category_scores_gemma":[0.005539179,0.0009598617,0.001129775,0.01015931,0.0004136496,0.00226533,0.002577259,0.001806151,0.2390701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412239,"about_ca_system_score_gemma":0.002157766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01801911,"about_ca_topic_score_gemma":0.03126816,"domain_scores_codex":[0.9989833,0.0001334816,0.0001338371,0.0003683408,0.0002101848,0.0001708241],"domain_scores_gemma":[0.9976591,0.0006226835,0.0002366245,0.0006128575,0.0005969336,0.0002717593],"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":[0.00003498593,0.00001093035,0.0003845512,0.0006011292,0.00001561174,0.00001351869,0.00002186501,0.0001177704,0.0001316705,0.0003789032,0.9967479,0.001541233],"study_design_scores_gemma":[0.00007279233,0.000008494373,0.001759333,0.0001794222,0.00001458323,0.00003205492,0.00005682226,0.0001228163,0.0001806438,0.0007725715,0.9967827,0.00001781821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003712386,0.00002466274,0.0000384139,0.00002621347,0.00001010829,0.000004364465,0.9989242,0.0003247607,0.0006101169],"genre_scores_gemma":[0.0001503387,0.00003429892,0.0001900687,0.00004374249,0.000003477165,0.00003895613,0.9988924,0.0001535857,0.0004932944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240188,"threshold_uncertainty_score":0.5887158,"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."}}