{"id":"W6905898873","doi":"10.15468/dl.mqdc74","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":[0.0009226627,0.001923295,0.00152977,0.005111139,0.0009911305,0.002592564,0.002693411,0.002085471,0.182445],"category_scores_gemma":[0.006105619,0.0008730994,0.001158988,0.009764086,0.00043278,0.002348239,0.00252581,0.001926261,0.2452001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646333,"about_ca_system_score_gemma":0.002372297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365571,"about_ca_topic_score_gemma":0.03638179,"domain_scores_codex":[0.9989715,0.0001325792,0.000134873,0.0003503176,0.0002347642,0.0001759903],"domain_scores_gemma":[0.9975447,0.0007057946,0.0002269205,0.0006196686,0.0006221352,0.0002807534],"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":[0.00002593851,0.0000100514,0.000338114,0.0005006448,0.00001222254,0.00001504435,0.00002268992,0.000110398,0.0001024378,0.0003669486,0.9971262,0.001369417],"study_design_scores_gemma":[0.00006476862,0.000007842487,0.001704303,0.0002056624,0.0000137192,0.00003815773,0.00007585815,0.0001503794,0.0001893352,0.0007426086,0.9967898,0.00001763248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000393786,0.00002692517,0.000045335,0.00003746687,0.00001235775,0.000005082087,0.9987404,0.0004080101,0.0006851791],"genre_scores_gemma":[0.0001627882,0.00003629502,0.0001982727,0.00005005226,0.000003530586,0.0000393973,0.9987916,0.0001661142,0.0005520244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.817555,"threshold_uncertainty_score":0.6103393,"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."}}