{"id":"W6943587434","doi":"10.15468/dl.qve5k2","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; 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":[0.0011057,0.001893164,0.001634577,0.005268019,0.001052689,0.002839068,0.00291712,0.001924522,0.1812002],"category_scores_gemma":[0.006473817,0.0009965218,0.001102232,0.01063641,0.0004646943,0.002482154,0.002667308,0.002057907,0.2426158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605458,"about_ca_system_score_gemma":0.002306063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988268,"about_ca_topic_score_gemma":0.032858,"domain_scores_codex":[0.9988956,0.0001445422,0.0001471,0.000388576,0.0002429008,0.000181281],"domain_scores_gemma":[0.9973733,0.0007591296,0.0002546228,0.0006816023,0.0006370585,0.000294222],"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":[0.00002739518,0.000009674474,0.0003498622,0.0005243736,0.00001403108,0.00001427819,0.00002414573,0.0001099541,0.0001173526,0.0004082244,0.996988,0.001412748],"study_design_scores_gemma":[0.0000588581,0.000006275479,0.001559458,0.0001794584,0.00001302971,0.0000338995,0.0000693791,0.0001171021,0.0001684958,0.0007261261,0.997052,0.00001600832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003330538,0.0000226956,0.00004732213,0.00003075019,0.00001129507,0.000004525944,0.9988714,0.0003345291,0.0006442457],"genre_scores_gemma":[0.0001523695,0.00003252697,0.0002089651,0.00004092309,0.000003523898,0.00004104053,0.9988695,0.000174998,0.0004761807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8187998,"threshold_uncertainty_score":0.6061751,"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."}}