{"id":"W6905442697","doi":"10.15468/dl.3acqm3","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); Set (abstract data type)","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":[0.0009244618,0.002030986,0.001594211,0.004876576,0.001073835,0.002552998,0.002962364,0.002137658,0.1471803],"category_scores_gemma":[0.006218359,0.0009236359,0.001314954,0.009288942,0.0004728632,0.002361212,0.002604115,0.002058126,0.2037105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702286,"about_ca_system_score_gemma":0.002463619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618804,"about_ca_topic_score_gemma":0.04255581,"domain_scores_codex":[0.9989817,0.0001294984,0.0001280425,0.0003515987,0.0002410195,0.0001681476],"domain_scores_gemma":[0.9977232,0.0006590199,0.0001971157,0.0005901464,0.000571429,0.000259167],"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":[0.00002956973,0.00001206774,0.000389538,0.0005360821,0.00001569191,0.00001640175,0.00002580045,0.0001371188,0.0001197408,0.0003683817,0.9968343,0.001515205],"study_design_scores_gemma":[0.00007852589,0.000009362335,0.002021972,0.0002136286,0.00001676089,0.00004543309,0.00008832087,0.0002038404,0.0002098298,0.0008151358,0.9962777,0.00001934056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004904637,0.00003343221,0.00005123464,0.00004226997,0.00001342269,0.000005693585,0.9986443,0.0005056663,0.0006550901],"genre_scores_gemma":[0.0001689489,0.00003460936,0.0002041614,0.0000460778,0.000003158759,0.00003758648,0.9989179,0.0001549004,0.0004326545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8528197,"threshold_uncertainty_score":0.492367,"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."}}