{"id":"W6905968068","doi":"10.15468/dl.ynvy7h","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":[0.001166541,0.002006173,0.001689991,0.00521476,0.001103893,0.002903024,0.003013757,0.002106008,0.177222],"category_scores_gemma":[0.006664779,0.001024032,0.001189564,0.01046346,0.0004631017,0.002545827,0.00272794,0.002156334,0.2462675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700711,"about_ca_system_score_gemma":0.002550285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257301,"about_ca_topic_score_gemma":0.03728526,"domain_scores_codex":[0.9987987,0.000161319,0.0001582761,0.0004179888,0.0002705401,0.0001931843],"domain_scores_gemma":[0.9971892,0.0008186371,0.0002565174,0.0007318786,0.000689987,0.0003137922],"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":[0.00002758468,0.000009839609,0.0003269718,0.0005218167,0.00001413096,0.00001415132,0.00002390278,0.0001057785,0.000110602,0.0004048571,0.9971642,0.001276118],"study_design_scores_gemma":[0.00006217393,0.000006484235,0.001528204,0.0001857508,0.00001338532,0.00003265472,0.00006677175,0.0001197446,0.0001728997,0.0007492323,0.9970459,0.0000168947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003139032,0.00002224436,0.00004549055,0.00003162502,0.00001069306,0.000004577283,0.9988791,0.0003436257,0.0006311718],"genre_scores_gemma":[0.0001325649,0.00003161105,0.0001882639,0.00004173702,0.000003100489,0.00003905787,0.9989208,0.0001666873,0.0004762265],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.822778,"threshold_uncertainty_score":0.5928665,"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."}}