{"id":"W6886971724","doi":"10.15468/dl.k7qgzh","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 set","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":[0.000917741,0.001795298,0.001533044,0.005208703,0.000956776,0.00259083,0.002737491,0.001856075,0.1478741],"category_scores_gemma":[0.005563775,0.000882497,0.001135335,0.01144513,0.0004196297,0.002261411,0.002370555,0.001848044,0.196115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819073,"about_ca_system_score_gemma":0.002730727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03267317,"about_ca_topic_score_gemma":0.05194251,"domain_scores_codex":[0.998956,0.0001291163,0.000135799,0.0003604191,0.0002441535,0.0001746057],"domain_scores_gemma":[0.9977767,0.0005771043,0.0002181665,0.0005657318,0.0006060713,0.0002562924],"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":[0.00002613581,0.000009717622,0.0003808342,0.0005200077,0.00001565391,0.00001355961,0.00002366158,0.0001335589,0.0001064456,0.00044957,0.9968304,0.001490462],"study_design_scores_gemma":[0.00005277185,0.000005809968,0.001767031,0.0001814244,0.00001314912,0.00002973894,0.00006587461,0.000122065,0.0001628785,0.0006648801,0.9969192,0.00001524168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000374366,0.00002718409,0.00003998392,0.00002929767,0.00001011819,0.000004055332,0.9989343,0.0002930078,0.0006245831],"genre_scores_gemma":[0.0001537163,0.00003490755,0.0001719523,0.00003635395,0.000002763942,0.00003037486,0.998993,0.0001194912,0.0004574837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8521259,"threshold_uncertainty_score":0.4946883,"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."}}