{"id":"W6887141363","doi":"10.15468/dl.qppxts","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); R package","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":[0.0009453726,0.001853055,0.00153062,0.004867891,0.0009112804,0.002596086,0.002616085,0.001859051,0.1781006],"category_scores_gemma":[0.005683201,0.0008840174,0.001097435,0.009834391,0.000416652,0.002252825,0.002572741,0.001884899,0.2346126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458901,"about_ca_system_score_gemma":0.002207539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051144,"about_ca_topic_score_gemma":0.03562498,"domain_scores_codex":[0.9990345,0.0001266784,0.0001229734,0.0003327813,0.000219286,0.0001637617],"domain_scores_gemma":[0.9976982,0.0006175574,0.0002209072,0.0006117625,0.0005751614,0.0002763698],"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":[0.00002591821,0.00000997548,0.0003685833,0.0004816509,0.00001363364,0.0000136387,0.00002293917,0.0001163035,0.0001032225,0.0003796616,0.9971283,0.00133615],"study_design_scores_gemma":[0.00005967605,0.000006639524,0.001790556,0.0001715883,0.00001217044,0.00003183096,0.00007072958,0.0001211728,0.000166452,0.000726085,0.9968273,0.00001582214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003581623,0.00002239895,0.0000403007,0.0000298005,0.00001039603,0.000004475297,0.9989055,0.0003140928,0.0006371621],"genre_scores_gemma":[0.000161549,0.00003106716,0.0001909206,0.00003969718,0.000003361175,0.00003916874,0.9988469,0.000152982,0.0005344232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8218994,"threshold_uncertainty_score":0.5958058,"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."}}