{"id":"W6906219146","doi":"10.15468/dl.u2gz7m","title":"Occurrence Download","year":2023,"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":[0.0009948091,0.001763826,0.00154683,0.005478157,0.0008471855,0.00254607,0.002551359,0.001788491,0.203607],"category_scores_gemma":[0.006381708,0.0009073336,0.001117192,0.01114658,0.0003971987,0.002324496,0.00268741,0.001786924,0.2641781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591108,"about_ca_system_score_gemma":0.002469328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396027,"about_ca_topic_score_gemma":0.03998931,"domain_scores_codex":[0.9988711,0.0001446389,0.0001527205,0.0003818496,0.0002592135,0.0001903705],"domain_scores_gemma":[0.9970795,0.0007474459,0.0002866528,0.0007245254,0.00081416,0.0003476448],"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":[0.00002475648,0.00000715866,0.0002860837,0.0004908745,0.00001233965,0.00001035752,0.00001926263,0.00008845723,0.00009038014,0.0003268562,0.9972622,0.001381339],"study_design_scores_gemma":[0.00005639036,0.00000612711,0.00163134,0.0001795413,0.00001201839,0.00002450671,0.00005570554,0.00009475597,0.0001400246,0.0006277788,0.9971577,0.00001412545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002688394,0.00002075163,0.00003434481,0.0000279139,0.000009197219,0.000004531688,0.9989742,0.0002808101,0.0006213771],"genre_scores_gemma":[0.000144637,0.000034711,0.0001837939,0.00004401612,0.000003709409,0.00004003763,0.9988494,0.0001535006,0.0005460956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.796393,"threshold_uncertainty_score":0.6811334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}