{"id":"W7106317414","doi":"10.15468/dl.vsdsct","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; 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":[0.001000859,0.001694464,0.001415095,0.005014895,0.0009193115,0.00235256,0.002477264,0.001605711,0.1805044],"category_scores_gemma":[0.005462439,0.0008230018,0.001022668,0.0104006,0.0003963333,0.002154758,0.002398938,0.001785604,0.2251966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166523,"about_ca_system_score_gemma":0.002729683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388477,"about_ca_topic_score_gemma":0.05624784,"domain_scores_codex":[0.9990109,0.0001272928,0.0001141848,0.0003289375,0.0002392059,0.0001793167],"domain_scores_gemma":[0.9975348,0.0006044044,0.0002343973,0.0006325939,0.0006852304,0.0003086255],"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":[0.00002408846,0.000008769399,0.0003615718,0.0003865889,0.00001223122,0.00001150377,0.00002064624,0.0001099986,0.00009410162,0.0003687105,0.9971974,0.001404312],"study_design_scores_gemma":[0.00005579254,0.000006604517,0.002027317,0.0001638947,0.00001158746,0.0000264854,0.0000709865,0.0001290958,0.0001787775,0.0007751643,0.996538,0.00001629073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003315742,0.00001732813,0.00003719615,0.00002679611,0.000008875488,0.000004441993,0.9988927,0.0003254335,0.0006540389],"genre_scores_gemma":[0.0001546669,0.00002473656,0.0001801983,0.00003745578,0.00000307967,0.00003381606,0.9988981,0.0001432726,0.0005246322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8194956,"threshold_uncertainty_score":0.6038475,"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."}}