{"id":"W6943540980","doi":"10.15468/dl.rxtvx6","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); Confidentiality","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":[0.001024557,0.001926732,0.001537221,0.005134209,0.00100533,0.002491305,0.002796264,0.002080089,0.1535592],"category_scores_gemma":[0.005876298,0.0008850873,0.00113838,0.00960863,0.0004605622,0.00232338,0.00253124,0.002036238,0.2078683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566206,"about_ca_system_score_gemma":0.002292621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050601,"about_ca_topic_score_gemma":0.03463496,"domain_scores_codex":[0.9989485,0.0001473149,0.000132142,0.0003665096,0.0002293421,0.0001761367],"domain_scores_gemma":[0.9974639,0.0007337547,0.0002465561,0.0006713757,0.0005924163,0.0002919171],"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":[0.00002880942,0.00001218506,0.0003913995,0.0005110139,0.00001437029,0.0000151979,0.00002458844,0.0001307374,0.0001133713,0.0003871129,0.9969884,0.001382974],"study_design_scores_gemma":[0.00007159299,0.000008378034,0.001878925,0.0001897508,0.00001403286,0.00003989518,0.00007772939,0.0001593994,0.0001876158,0.0007980453,0.9965569,0.00001785898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000461973,0.00002699732,0.00004732879,0.0000363585,0.00001277057,0.000005334299,0.9988244,0.0003591361,0.000641538],"genre_scores_gemma":[0.0001661488,0.00003125514,0.0001987434,0.00004347155,0.000003556797,0.00004111276,0.998916,0.0001379938,0.0004616639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464408,"threshold_uncertainty_score":0.5137067,"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."}}