{"id":"W6887215145","doi":"10.15468/dl.qzx9e3","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":"Matching (statistics); Range (aeronautics); Download; Identification (biology); Set (abstract data type)","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":[0.0008679756,0.002104685,0.001596513,0.005115209,0.0009478981,0.002523238,0.002716639,0.001870752,0.164477],"category_scores_gemma":[0.005189152,0.0009622474,0.001161738,0.009972732,0.0004303542,0.002300661,0.002541596,0.001874338,0.2313135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447068,"about_ca_system_score_gemma":0.002177802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876776,"about_ca_topic_score_gemma":0.03290525,"domain_scores_codex":[0.9989892,0.000133807,0.0001284206,0.0003681903,0.0002112592,0.0001691518],"domain_scores_gemma":[0.9977998,0.0005793983,0.0002170091,0.0005917614,0.0005452253,0.0002667588],"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":[0.00003383163,0.00001154679,0.0003725317,0.0005632178,0.00001518167,0.00001430271,0.00002207915,0.0001182515,0.0001351804,0.000381117,0.996834,0.001498725],"study_design_scores_gemma":[0.0000687157,0.000008554364,0.001727011,0.0001640309,0.00001363739,0.00003484967,0.00005765741,0.0001217387,0.0001805314,0.0007266485,0.9968791,0.0000175491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000423585,0.00002778752,0.00004085159,0.00002900259,0.00001143244,0.000004739014,0.9988185,0.0003502405,0.0006751018],"genre_scores_gemma":[0.0001465731,0.00003415383,0.0001819252,0.00004369858,0.000003424001,0.00003687448,0.9989285,0.0001398279,0.0004849826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835523,"threshold_uncertainty_score":0.5502304,"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."}}