{"id":"W6886904949","doi":"10.15468/dl.3ud2x3","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)","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":[0.0008874552,0.001939531,0.001482607,0.004750405,0.001037404,0.002450302,0.002765701,0.001957789,0.1452087],"category_scores_gemma":[0.005870162,0.00086508,0.001240547,0.009175889,0.000448278,0.002289209,0.002571923,0.001950118,0.2124034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561099,"about_ca_system_score_gemma":0.002432318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02711061,"about_ca_topic_score_gemma":0.0447442,"domain_scores_codex":[0.9990185,0.0001249708,0.0001283377,0.0003354106,0.0002291277,0.000163586],"domain_scores_gemma":[0.9976287,0.0006441475,0.0002050127,0.0006396929,0.0006158348,0.0002665727],"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":[0.00002718924,0.0000110428,0.0003747947,0.0004377436,0.00001257269,0.0000155965,0.00002339446,0.0001120425,0.00009860471,0.0003264917,0.9971322,0.001428329],"study_design_scores_gemma":[0.00007363233,0.000009057013,0.002010623,0.0001899034,0.00001403262,0.00004550069,0.00008989801,0.0001885538,0.0001954498,0.000784288,0.9963805,0.00001846947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005352957,0.00002896154,0.00005189535,0.00004207201,0.00001384612,0.000005952428,0.9985861,0.0005297911,0.0006879688],"genre_scores_gemma":[0.0001642908,0.00003157591,0.0002072029,0.00004281325,0.000003366627,0.00003793184,0.9988996,0.0001565797,0.0004566798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547913,"threshold_uncertainty_score":0.4857715,"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."}}