{"id":"W6962551331","doi":"10.15468/dl.w7gmpf","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lasius; Download; Matching (statistics); Forester; Flannery","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":[0.0008315441,0.002675029,0.001943029,0.006056945,0.001121676,0.003221527,0.002844861,0.002059778,0.1933932],"category_scores_gemma":[0.005750527,0.0008974663,0.001783531,0.009385068,0.000376476,0.003415738,0.003451169,0.001929229,0.3285467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539437,"about_ca_system_score_gemma":0.002015592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01675382,"about_ca_topic_score_gemma":0.02883402,"domain_scores_codex":[0.9987197,0.0001348523,0.0001688809,0.000472149,0.0002823517,0.0002221662],"domain_scores_gemma":[0.997789,0.0005050728,0.0001874601,0.0006229149,0.0006166049,0.0002788995],"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":[0.00005037889,0.00001558907,0.0004411495,0.0006013051,0.00001599071,0.00002227622,0.00002330344,0.0001064341,0.0001404806,0.0003283616,0.9951904,0.00306433],"study_design_scores_gemma":[0.00006191174,0.00001524463,0.001632689,0.0001708009,0.00001471275,0.00005435649,0.00008184285,0.0002777858,0.0002124217,0.0007434832,0.9967149,0.00001977136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008629256,0.00006325653,0.0001058229,0.00005689579,0.00003084621,0.00001161407,0.996641,0.001715921,0.001288299],"genre_scores_gemma":[0.0002073068,0.00005635754,0.0003886142,0.00006351314,0.000007787416,0.00004870827,0.9980955,0.0003410146,0.0007912411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8066068,"threshold_uncertainty_score":0.6469646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}