{"id":"W6962311077","doi":"10.15468/dl.aexh4j","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; Set (abstract data type)","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":[0.0009869683,0.001848669,0.001585998,0.005385466,0.0008986716,0.002556788,0.00262006,0.001860191,0.176562],"category_scores_gemma":[0.005785645,0.0008927908,0.001151776,0.01038989,0.0004311939,0.002187835,0.002563059,0.00184549,0.226738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443315,"about_ca_system_score_gemma":0.002200358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01803802,"about_ca_topic_score_gemma":0.02937378,"domain_scores_codex":[0.9989697,0.0001370813,0.000139258,0.0003475323,0.000229806,0.000176687],"domain_scores_gemma":[0.9976341,0.0006555117,0.0002383751,0.0006068087,0.0005824985,0.000282748],"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":[0.00003431923,0.00001107898,0.0003976011,0.0006810552,0.00001784691,0.00001556398,0.00002532376,0.000125304,0.0001491701,0.0004247127,0.9964299,0.001688203],"study_design_scores_gemma":[0.00007087014,0.000007940345,0.001882514,0.0002036255,0.00001526032,0.00003432378,0.00006477981,0.0001141419,0.0001951374,0.0007351012,0.9966596,0.00001669631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003779492,0.00002682419,0.00003913235,0.00002883631,0.000009650695,0.000004715293,0.9989148,0.0003260418,0.0006121098],"genre_scores_gemma":[0.0001594911,0.00003567726,0.0001733049,0.00004448686,0.000003312997,0.00003860933,0.9989643,0.0001440688,0.0004368207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823438,"threshold_uncertainty_score":0.5906587,"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."}}