{"id":"W4396203043","doi":"10.15468/dl.d29t7p","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":["insufficient_payload"],"category_scores_codex":[0.0008646168,0.002725889,0.002075302,0.006961148,0.001616037,0.004592061,0.003178231,0.002624938,0.396949],"category_scores_gemma":[0.00653129,0.001122957,0.001670091,0.009383739,0.0004103015,0.004647533,0.004730529,0.002447828,0.4993985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213742,"about_ca_system_score_gemma":0.002599689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772213,"about_ca_topic_score_gemma":0.04804805,"domain_scores_codex":[0.9988101,0.0001149253,0.0001494599,0.0003782622,0.0003239139,0.000223461],"domain_scores_gemma":[0.996903,0.0005983362,0.0002234632,0.0007047821,0.001144842,0.000425672],"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":[0.00003838578,0.00001248262,0.0003150454,0.0004545498,0.000009531157,0.00002152198,0.0000211579,0.00006014486,0.00008003029,0.0004399484,0.9956486,0.002898714],"study_design_scores_gemma":[0.0000596177,0.00001027957,0.00123217,0.0001848256,0.00001047498,0.00004702997,0.00007331732,0.0001846973,0.0001548067,0.001090256,0.9969341,0.00001847155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006037985,0.00005718307,0.0001384698,0.00009721567,0.00003428978,0.00001564517,0.993,0.002644226,0.003952552],"genre_scores_gemma":[0.0002803024,0.00007513986,0.0005394964,0.000145446,0.00001344687,0.00005436154,0.9955128,0.0008363356,0.002542674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6030509,"threshold_uncertainty_score":0.860179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488035321446257,"score_gpt":0.2070432747805242,"score_spread":0.1921629215660616,"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."}}