{"id":"W6887352012","doi":"10.15468/dl.zy3cet","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":[0.00101617,0.001968906,0.001537958,0.004713788,0.001103359,0.002596678,0.002906734,0.002226877,0.1587882],"category_scores_gemma":[0.006104637,0.0009224846,0.001176134,0.009078729,0.0004720006,0.002588376,0.002676508,0.002188953,0.2192855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730739,"about_ca_system_score_gemma":0.002402652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192203,"about_ca_topic_score_gemma":0.03811328,"domain_scores_codex":[0.9989236,0.0001509164,0.000128159,0.0003822604,0.0002411906,0.0001738736],"domain_scores_gemma":[0.9974758,0.0007268561,0.0002178517,0.0006824574,0.0006127683,0.0002843289],"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":[0.00002577991,0.00001138214,0.0003243803,0.0004668804,0.00001221808,0.00001415445,0.00002264836,0.0001190727,0.0001079382,0.0003995714,0.9972516,0.001244277],"study_design_scores_gemma":[0.00006581279,0.000007687623,0.001567386,0.0001724576,0.00001197776,0.00003605607,0.0000721964,0.0001549266,0.0001732343,0.000817881,0.9969026,0.00001768787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004526229,0.00002793935,0.00005349956,0.00004394006,0.00001389329,0.00000592774,0.9986241,0.0004341504,0.0007512837],"genre_scores_gemma":[0.0001667909,0.00003197984,0.0002260924,0.00004972771,0.000003518049,0.0000444873,0.9988009,0.0001686287,0.0005078388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412119,"threshold_uncertainty_score":0.5311993,"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."}}