{"id":"W6886960635","doi":"10.15468/dl.cmzxbn","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":"Download; Matching (statistics); Range (aeronautics); Data source; Data archive","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":[0.0009655373,0.00175089,0.001528466,0.004906737,0.0008919979,0.002528754,0.002639504,0.00185728,0.1658328],"category_scores_gemma":[0.005877089,0.0008732986,0.001083636,0.01010029,0.0003969792,0.002293295,0.002416939,0.001792345,0.2080089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603755,"about_ca_system_score_gemma":0.002349867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02257146,"about_ca_topic_score_gemma":0.03727621,"domain_scores_codex":[0.9989661,0.0001337969,0.0001417103,0.0003519878,0.0002381683,0.0001682235],"domain_scores_gemma":[0.9976391,0.0006456145,0.0002393047,0.0005933199,0.0006047204,0.0002779763],"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":[0.00002727451,0.00000972803,0.0003767015,0.0005196721,0.00001500265,0.00001297463,0.00002216683,0.000119962,0.0001012498,0.0004202103,0.9969279,0.001446994],"study_design_scores_gemma":[0.00006052177,0.000006693552,0.001905636,0.0001912575,0.00001390243,0.00003098215,0.00006560666,0.0001281561,0.0001693504,0.0007245508,0.9966876,0.00001575212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003432819,0.00002324341,0.00003975112,0.00002870501,0.000009371986,0.000004154049,0.998985,0.000280095,0.0005952992],"genre_scores_gemma":[0.0001538056,0.00003139081,0.0001777193,0.00003902785,0.000002942207,0.00003361402,0.9989806,0.0001211242,0.0004597802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341672,"threshold_uncertainty_score":0.5547658,"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."}}