{"id":"W6962832488","doi":"10.15468/dl.tawqkg","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); Species name; Agrostis","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":[0.0009516335,0.001943959,0.001518435,0.004772878,0.001016204,0.002609913,0.002809425,0.002045972,0.1728942],"category_scores_gemma":[0.006652308,0.0009302615,0.001169711,0.009305844,0.0004489153,0.002540321,0.002692746,0.002001568,0.2268938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654442,"about_ca_system_score_gemma":0.002376717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02300655,"about_ca_topic_score_gemma":0.03509694,"domain_scores_codex":[0.9989666,0.0001263783,0.0001322338,0.0003600023,0.0002372872,0.0001775253],"domain_scores_gemma":[0.9974678,0.0007114633,0.0002287917,0.0006778679,0.0006174548,0.0002966199],"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":[0.00002671585,0.00001045149,0.0003510007,0.0004248081,0.00001171648,0.00001325018,0.00002131449,0.0001045799,0.00008843183,0.0003286208,0.9972811,0.00133812],"study_design_scores_gemma":[0.00007644586,0.000008614828,0.001971574,0.0001985419,0.00001343052,0.00003814,0.0000792898,0.0001751867,0.0001840137,0.000795001,0.9964424,0.00001723404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004164805,0.00002362172,0.00004550761,0.00003932774,0.00001279651,0.000005614198,0.9987459,0.0004442082,0.0006413824],"genre_scores_gemma":[0.0001724546,0.00003287523,0.0002012911,0.00004930603,0.000003882771,0.00004218776,0.9988496,0.000172365,0.0004760754],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8271058,"threshold_uncertainty_score":0.5783887,"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."}}