{"id":"W6962529514","doi":"10.15468/dl.yzrpv3","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":[0.001096958,0.001952522,0.001633147,0.005053631,0.001037976,0.002647447,0.002901327,0.002018754,0.1690637],"category_scores_gemma":[0.006332107,0.0009737135,0.001128442,0.01001169,0.0004652244,0.002278113,0.002654777,0.002046331,0.2266346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660276,"about_ca_system_score_gemma":0.002441779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238567,"about_ca_topic_score_gemma":0.03709112,"domain_scores_codex":[0.99892,0.0001417338,0.0001410902,0.0003743098,0.0002494328,0.0001733913],"domain_scores_gemma":[0.9973935,0.0007562026,0.0002465692,0.0006590629,0.000648085,0.0002965752],"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":[0.00002704092,0.00001072082,0.0003566014,0.0005287268,0.00001454972,0.00001505999,0.00002485211,0.0001157795,0.0001247969,0.0003890038,0.9970695,0.001323319],"study_design_scores_gemma":[0.00006882586,0.000007328903,0.00180251,0.0001872236,0.00001424234,0.000036494,0.00007180905,0.0001278116,0.000193587,0.0006954372,0.9967771,0.00001769046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369681,0.00002280205,0.00004485482,0.00003247508,0.00001108412,0.000004803194,0.9988751,0.000344027,0.0006277709],"genre_scores_gemma":[0.0001501174,0.00002967055,0.0001949757,0.00003978481,0.000003063481,0.00004124116,0.9989329,0.0001619011,0.0004463419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8309363,"threshold_uncertainty_score":0.5655744,"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."}}