{"id":"W6962073973","doi":"10.15468/dl.fhv2hb","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009725384,0.002310799,0.001673316,0.004617804,0.001005308,0.002636943,0.003111713,0.002017945,0.1322997],"category_scores_gemma":[0.006165873,0.0009389973,0.001258222,0.009087395,0.0004686474,0.002334939,0.002569642,0.002007452,0.1910079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741567,"about_ca_system_score_gemma":0.002559194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02415423,"about_ca_topic_score_gemma":0.03999882,"domain_scores_codex":[0.9989659,0.0001415751,0.000139178,0.0003703042,0.0002279007,0.0001550638],"domain_scores_gemma":[0.997825,0.0006143125,0.000204559,0.0005488927,0.0005440076,0.000263244],"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":[0.00004003509,0.00001360494,0.0004123793,0.000627215,0.00001789761,0.00001849384,0.00002540266,0.0001670903,0.0001266144,0.0004592321,0.9964465,0.001645409],"study_design_scores_gemma":[0.00008951723,0.000009898704,0.001539328,0.000187695,0.00001589086,0.00004408809,0.00006741589,0.0002229805,0.0002120107,0.0009414734,0.9966505,0.00001923593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005150528,0.00003601238,0.00005817225,0.00003759423,0.00001143651,0.000006134269,0.9985266,0.0006041604,0.0006684238],"genre_scores_gemma":[0.0001631418,0.00004025412,0.0002474122,0.00004577806,0.000002800779,0.00003606158,0.9988632,0.0001797821,0.0004215835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8677003,"threshold_uncertainty_score":0.4425865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}