{"id":"W6924611212","doi":"10.15468/dl.46a95w","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); The Internet","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":[0.000948789,0.001917477,0.001600089,0.005421788,0.0009903748,0.002545259,0.002803676,0.002051478,0.1495012],"category_scores_gemma":[0.005757178,0.0008962708,0.001182867,0.009926886,0.0004540269,0.00226654,0.002625745,0.001913554,0.2046525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580185,"about_ca_system_score_gemma":0.002351285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182109,"about_ca_topic_score_gemma":0.03741115,"domain_scores_codex":[0.9989613,0.0001371866,0.0001386161,0.0003473379,0.0002319869,0.0001835052],"domain_scores_gemma":[0.9976128,0.0006280566,0.0002349369,0.0006389164,0.00060347,0.0002817753],"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":[0.00003492874,0.0000129058,0.0004399827,0.000667315,0.0000182918,0.00001818925,0.00002517258,0.0001270215,0.000159146,0.0004263635,0.9965251,0.001545435],"study_design_scores_gemma":[0.00007305229,0.000008606346,0.001987897,0.0002009393,0.00001579189,0.00004127352,0.00006853837,0.0001266219,0.0002040254,0.0007088413,0.9965469,0.00001757816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004594932,0.00002982222,0.00003987071,0.00003280125,0.00001114121,0.000005274519,0.9988782,0.0003355388,0.0006213565],"genre_scores_gemma":[0.0001568601,0.00003439656,0.0001695907,0.00004198594,0.000003283012,0.00003682148,0.999037,0.0001154826,0.0004046077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504988,"threshold_uncertainty_score":0.5001314,"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."}}