{"id":"W6961945119","doi":"10.15468/dl.bmepm7","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics, Bioinformatics, and Biomedical Research","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003684974,0.0003259245,0.0002757266,0.000111173,0.0002329247,0.0001399812,0.0008642954,0.0007416701,0.0003620631],"category_scores_gemma":[0.0005922792,0.0003150067,0.0002126852,0.0002573082,0.0003626401,0.00002718904,0.000935837,0.0002952885,0.01127486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113965,"about_ca_system_score_gemma":0.0005468183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631187,"about_ca_topic_score_gemma":0.00002560278,"domain_scores_codex":[0.9980562,0.00006731029,0.0005119602,0.00029037,0.0006223045,0.0004518345],"domain_scores_gemma":[0.9982876,0.00001179558,0.0002189371,0.0007691022,0.0004482578,0.0002643194],"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":[0.00009130808,0.00004736273,0.0002725266,0.0003608813,0.0000644802,8.910598e-7,0.000009876485,0.00000301623,0.000002892704,4.509788e-8,0.9947627,0.004383973],"study_design_scores_gemma":[0.0004538361,0.0001404506,0.00003936723,0.000005672362,0.00003909623,0.00000302302,0.00009221835,3.460206e-7,0.0001359478,6.800565e-7,0.9987828,0.0003065577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000422807,0.00007712539,0.00003650626,0.0002045147,0.000613994,0.0003702567,0.9978052,0.0000219889,0.0004475888],"genre_scores_gemma":[0.00002248542,0.0008798475,0.000007260654,0.0009837374,0.000006894436,0.000006216512,0.9980902,1.832513e-8,0.000003343033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0109128,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354698637645786,"score_gpt":0.2538377714956856,"score_spread":0.2402907851192278,"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."}}