{"id":"W6924332094","doi":"10.15468/dl.9esfuf","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":[0.000974761,0.002344295,0.001710282,0.004505945,0.001019555,0.002627313,0.003143254,0.001992619,0.1481559],"category_scores_gemma":[0.006133172,0.0009794818,0.001246531,0.008899146,0.0004628166,0.002391713,0.002649185,0.002042234,0.2045644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741024,"about_ca_system_score_gemma":0.00254883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322816,"about_ca_topic_score_gemma":0.03885034,"domain_scores_codex":[0.9989777,0.0001390442,0.0001351536,0.0003655704,0.0002278901,0.0001546202],"domain_scores_gemma":[0.9978544,0.0006069991,0.0001992332,0.0005467866,0.0005326802,0.000259853],"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":[0.00003871577,0.00001326875,0.0003690097,0.0005935315,0.00001682525,0.00001753399,0.00002537067,0.0001525374,0.0001257194,0.0004537198,0.99659,0.001603731],"study_design_scores_gemma":[0.0000876435,0.000009053558,0.001427998,0.0001774758,0.00001509396,0.00004215521,0.00006416362,0.0002109494,0.0002175724,0.0009456832,0.9967834,0.00001870488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004990098,0.00003393345,0.00006483243,0.00003826782,0.00001157789,0.000006271302,0.9983954,0.0006751355,0.0007246684],"genre_scores_gemma":[0.0001594407,0.00003831444,0.0002613769,0.00004640214,0.000002766076,0.00003727749,0.9987856,0.0002193428,0.0004495083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518441,"threshold_uncertainty_score":0.4956307,"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."}}