{"id":"W6962362396","doi":"10.15468/dl.uk6tnr","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.00105261,0.001991422,0.001560802,0.005829928,0.0009996088,0.002709125,0.002705243,0.001693067,0.2113988],"category_scores_gemma":[0.006148249,0.000930383,0.00114919,0.01061562,0.0004667593,0.002404946,0.002970521,0.001763225,0.2802265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863712,"about_ca_system_score_gemma":0.002825548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03071864,"about_ca_topic_score_gemma":0.05088046,"domain_scores_codex":[0.9989967,0.0001232084,0.0001275401,0.0003277683,0.0002316966,0.0001930395],"domain_scores_gemma":[0.9972993,0.0006443842,0.0002507463,0.0007107517,0.0007733697,0.0003215676],"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":[0.00002638586,0.000007649887,0.0002706714,0.0005346932,0.0000123907,0.00001146242,0.00001985587,0.00008732144,0.00009814733,0.0003601769,0.9971035,0.001467775],"study_design_scores_gemma":[0.00004924578,0.000005529984,0.001331914,0.0001916181,0.00001125803,0.00002454993,0.00004973859,0.00007563874,0.0001400388,0.0005925194,0.9975141,0.00001394083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002254504,0.00001826002,0.00002919964,0.00002431455,0.00000888752,0.000004549547,0.9989256,0.0002925273,0.0006741657],"genre_scores_gemma":[0.0001182328,0.0000322506,0.0001655088,0.00004280925,0.000003191029,0.00003435591,0.9989454,0.0001598604,0.000498372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7886012,"threshold_uncertainty_score":0.7071993,"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."}}