{"id":"W6887277646","doi":"10.15468/dl.vxds7z","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); Real world data","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":[0.0009992712,0.001929103,0.001555735,0.005455817,0.0009571193,0.002599836,0.002771215,0.001924314,0.1570649],"category_scores_gemma":[0.005978185,0.0009088438,0.001156299,0.01039273,0.0004579851,0.002227226,0.002685935,0.001900708,0.2190323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597444,"about_ca_system_score_gemma":0.002361317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225913,"about_ca_topic_score_gemma":0.03632029,"domain_scores_codex":[0.998911,0.0001481086,0.0001450255,0.0003665493,0.0002433782,0.0001859297],"domain_scores_gemma":[0.9974862,0.00066488,0.0002478008,0.0006799355,0.0006197768,0.0003013629],"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":[0.00003054217,0.00001074886,0.0003656801,0.0005796151,0.00001566492,0.00001499819,0.00002397993,0.0001133693,0.0001205592,0.0003970734,0.9968703,0.001457483],"study_design_scores_gemma":[0.00006989507,0.000007644177,0.001876991,0.0001895234,0.00001421672,0.00003626724,0.00006597065,0.000119409,0.0001777008,0.0007443333,0.9966814,0.00001657159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004008694,0.00002695461,0.00003907036,0.00003136579,0.00001019962,0.000004887232,0.9988832,0.0003490986,0.0006150537],"genre_scores_gemma":[0.0001549733,0.00003287353,0.0001688519,0.00004318219,0.000003162347,0.00003634163,0.9990029,0.0001363588,0.0004213789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8429351,"threshold_uncertainty_score":0.5254344,"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."}}