{"id":"W6906102596","doi":"10.15468/dl.u9fcrr","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); 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":[0.001009177,0.001930692,0.001620903,0.005084493,0.0009669993,0.002664082,0.002718717,0.002008137,0.1686227],"category_scores_gemma":[0.006231545,0.0009167455,0.00115386,0.009796066,0.0004288287,0.002439787,0.002562951,0.001957775,0.2217071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148678,"about_ca_system_score_gemma":0.002217809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877618,"about_ca_topic_score_gemma":0.03163186,"domain_scores_codex":[0.998939,0.0001459723,0.0001372099,0.0003758936,0.0002302605,0.0001716599],"domain_scores_gemma":[0.9974093,0.0007689191,0.0002438953,0.0006806362,0.000600928,0.0002964111],"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":[0.00002917799,0.00001082271,0.0003773951,0.0005556658,0.00001515364,0.0000146449,0.0000234283,0.0001218117,0.0001126842,0.0003848808,0.9969777,0.001376693],"study_design_scores_gemma":[0.00007060161,0.000007803965,0.00179649,0.000189902,0.0000145825,0.00003622947,0.00007005512,0.0001426831,0.0001794901,0.0008193548,0.9966552,0.00001742985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003932186,0.00002603707,0.00004519905,0.00003450411,0.00001147169,0.000004899032,0.9988669,0.0003572906,0.0006144043],"genre_scores_gemma":[0.0001639987,0.00003432362,0.0001958247,0.00004628377,0.000003607447,0.00004219679,0.9988654,0.000154686,0.0004937117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313773,"threshold_uncertainty_score":0.564099,"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."}}