{"id":"W7108759092","doi":"10.15468/dl.s3xhwh","title":"Occurrence Download","year":2025,"lang":"","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":[0.001072937,0.001729377,0.001531266,0.004803747,0.0009390273,0.002595883,0.002656499,0.001986035,0.1715199],"category_scores_gemma":[0.006617449,0.0008976464,0.001085841,0.009288417,0.0004469698,0.002330923,0.002499108,0.001944039,0.2248005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627327,"about_ca_system_score_gemma":0.00238951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213061,"about_ca_topic_score_gemma":0.0328661,"domain_scores_codex":[0.9989347,0.0001445934,0.0001431802,0.0003720078,0.0002329855,0.0001725607],"domain_scores_gemma":[0.9972403,0.0007855414,0.0002858584,0.0007075279,0.0006742341,0.0003063708],"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":[0.00002821762,0.000009931269,0.0003895155,0.0005057745,0.00001416621,0.00001253484,0.00002192411,0.0001201774,0.00009682361,0.0003676999,0.9970185,0.001414975],"study_design_scores_gemma":[0.00007146538,0.000007762604,0.002069136,0.0002065284,0.00001464435,0.00003303305,0.00007619205,0.0001520117,0.0001751102,0.0007669805,0.99641,0.0000171854],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003241712,0.00001966509,0.00003564962,0.00003123011,0.000009974407,0.000004090909,0.9991065,0.0002688211,0.0004916632],"genre_scores_gemma":[0.0001596744,0.00002967672,0.0001852274,0.00004301776,0.000003535166,0.00003797162,0.9989681,0.0001264506,0.0004464088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284801,"threshold_uncertainty_score":0.5737914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}