{"id":"W7114900050","doi":"10.15468/dl.jre72a","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); Reference data; Key (lock)","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":[0.0009286229,0.001806602,0.00151765,0.005217529,0.001003162,0.002932274,0.002644812,0.001809206,0.2087835],"category_scores_gemma":[0.006514622,0.0009043429,0.001159585,0.0103329,0.0004116057,0.002676902,0.002722163,0.002068593,0.2917842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599512,"about_ca_system_score_gemma":0.002457725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212644,"about_ca_topic_score_gemma":0.03428637,"domain_scores_codex":[0.9989682,0.0001298557,0.0001274103,0.0003672675,0.0002343241,0.0001728663],"domain_scores_gemma":[0.9973845,0.0007215667,0.0002469571,0.0006716632,0.000678263,0.0002970036],"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":[0.00002182951,0.000007502254,0.0002832927,0.0004203779,0.00001079975,0.00001059474,0.0000196464,0.0000820658,0.00007351807,0.0003291729,0.997346,0.001395124],"study_design_scores_gemma":[0.00004803245,0.000005595127,0.001378014,0.0001672068,0.00001101467,0.00002591252,0.00006474971,0.0001083045,0.0001463764,0.0007005719,0.9973297,0.00001434815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003091066,0.00002211022,0.00004665048,0.00003749991,0.00001294319,0.000004819331,0.9985864,0.0004477061,0.0008109778],"genre_scores_gemma":[0.0001494204,0.00003639653,0.0002202814,0.00005008081,0.000004555725,0.00004377525,0.9985057,0.0002280302,0.0007617692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7912165,"threshold_uncertainty_score":0.6984503,"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."}}