{"id":"W6905672460","doi":"10.15468/dl.a95d2n","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); 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":[0.0009724137,0.001926204,0.001607076,0.005529042,0.0009533473,0.002535919,0.002802256,0.001929564,0.1528158],"category_scores_gemma":[0.005786852,0.0008879035,0.00117956,0.0109359,0.0004538209,0.002131073,0.00259191,0.001843809,0.2158978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557947,"about_ca_system_score_gemma":0.002327633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02243308,"about_ca_topic_score_gemma":0.0354396,"domain_scores_codex":[0.998914,0.000144813,0.0001442997,0.0003638372,0.000247205,0.0001858246],"domain_scores_gemma":[0.9975873,0.0006190118,0.0002384119,0.0006535318,0.0006183326,0.0002833753],"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":[0.00003435569,0.00001159741,0.0004019443,0.0006387685,0.00001774763,0.00001657185,0.00002487326,0.0001297061,0.0001440849,0.0004056322,0.996529,0.001645845],"study_design_scores_gemma":[0.00006962392,0.000007890886,0.001959681,0.0001925002,0.00001538233,0.00003685345,0.00006620481,0.0001225136,0.0001961807,0.0007189643,0.9965971,0.00001716305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004232582,0.00002923562,0.00003844827,0.00003053302,0.0000100075,0.000004861251,0.9988944,0.0003393006,0.000610936],"genre_scores_gemma":[0.000156204,0.00003433919,0.0001627786,0.0000406317,0.000003065605,0.00003526264,0.9990174,0.0001277124,0.0004226385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8471842,"threshold_uncertainty_score":0.5112197,"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."}}