{"id":"W6906007558","doi":"10.15468/dl.vntqz9","title":"Occurrence Download","year":2023,"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); Order (exchange)","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":[0.0009426927,0.001902749,0.001506149,0.004565483,0.0009281982,0.00234677,0.002733565,0.001996041,0.1384907],"category_scores_gemma":[0.005552639,0.0008917094,0.001167005,0.009105932,0.0004419899,0.002109973,0.002469551,0.001963874,0.1928539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535819,"about_ca_system_score_gemma":0.002162953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195593,"about_ca_topic_score_gemma":0.03543207,"domain_scores_codex":[0.9990589,0.0001249482,0.0001199537,0.0003291206,0.0002099269,0.0001571047],"domain_scores_gemma":[0.9977744,0.0006239534,0.0002145771,0.0006032488,0.0005272505,0.0002565316],"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":[0.00002893813,0.00001174255,0.0004265669,0.0005027216,0.00001538586,0.00001533163,0.00002635666,0.0001420076,0.0001293508,0.0003850125,0.9968421,0.001474315],"study_design_scores_gemma":[0.00007822394,0.000008551479,0.002198768,0.0001930874,0.0000152656,0.00004201269,0.00008124839,0.0001794455,0.0002070121,0.0007649314,0.9962133,0.00001813668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004874601,0.0000262128,0.00004821695,0.00003562931,0.00001211062,0.000005059571,0.9988527,0.0003987441,0.000572542],"genre_scores_gemma":[0.000172786,0.00003039397,0.0002056711,0.00004092723,0.000003260479,0.00004028799,0.998963,0.000148737,0.000394998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8615093,"threshold_uncertainty_score":0.4632977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}