{"id":"W6943563913","doi":"10.15468/dl.ykexn5","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); 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":[0.001179965,0.001976386,0.001725853,0.005424738,0.001103538,0.00293009,0.003056738,0.002088337,0.1827324],"category_scores_gemma":[0.007028941,0.001033785,0.001184455,0.01086889,0.000469146,0.002564459,0.002767808,0.002170434,0.2436905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668225,"about_ca_system_score_gemma":0.002542077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02184391,"about_ca_topic_score_gemma":0.03576778,"domain_scores_codex":[0.9988123,0.0001598586,0.0001587278,0.0004136674,0.0002682076,0.0001871423],"domain_scores_gemma":[0.9971178,0.0008454582,0.0002651991,0.0007420305,0.0007125204,0.0003170992],"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":[0.00002692846,0.000009763004,0.0003245652,0.0005270273,0.00001433643,0.0000139129,0.00002388776,0.0001085621,0.0001053201,0.000401429,0.9971295,0.00131484],"study_design_scores_gemma":[0.00006315352,0.000006282634,0.001481045,0.0001889761,0.00001377048,0.00003271996,0.0000674305,0.0001207571,0.000167023,0.0007749554,0.997067,0.00001695278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003126144,0.00002231139,0.00004794529,0.00003198386,0.00001075213,0.000004688341,0.9988561,0.0003505125,0.0006444647],"genre_scores_gemma":[0.000139397,0.00003241885,0.0002044759,0.00004288911,0.00000321935,0.00004165753,0.9988779,0.0001789623,0.0004790426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8172675,"threshold_uncertainty_score":0.6113009,"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."}}