{"id":"W6943565207","doi":"10.15468/dl.hb7b6b","title":"Occurrence Download","year":2024,"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); Confidentiality; Viet nam","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":[0.0009902102,0.00196078,0.001586124,0.005153385,0.001001157,0.002747591,0.002828711,0.002175834,0.1705345],"category_scores_gemma":[0.006682949,0.000961949,0.001223915,0.01014382,0.0004556229,0.002533577,0.002564449,0.002013723,0.2257621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675029,"about_ca_system_score_gemma":0.002402731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02307205,"about_ca_topic_score_gemma":0.03479517,"domain_scores_codex":[0.9989398,0.0001487831,0.0001369183,0.0003538032,0.000246133,0.0001744937],"domain_scores_gemma":[0.9974412,0.0007941876,0.0002298708,0.0006511642,0.000603453,0.000280246],"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":[0.00002794056,0.00001152731,0.0003713177,0.0004945111,0.00001404929,0.00001424399,0.00002308923,0.0001399068,0.00008991222,0.0003424814,0.9969172,0.001553804],"study_design_scores_gemma":[0.00007890468,0.000008631288,0.001845176,0.0002102893,0.0000142606,0.00003724141,0.00007949662,0.0002070559,0.0001696268,0.0008248575,0.9965066,0.00001785081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000413839,0.00002709946,0.00004217574,0.00004192597,0.00001228242,0.000005447065,0.9988127,0.0004091364,0.0006078208],"genre_scores_gemma":[0.0001685032,0.00003677177,0.0002031043,0.00004801933,0.000003684041,0.00004567448,0.9988496,0.0001573756,0.0004872639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294654,"threshold_uncertainty_score":0.5704949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}