{"id":"W6906008113","doi":"10.15468/dl.wdeyvm","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); Data set; Set (abstract data type)","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":[0.001067074,0.001865939,0.001638107,0.005195063,0.0009746213,0.002730038,0.002812083,0.00194922,0.1917764],"category_scores_gemma":[0.006463986,0.0009469999,0.001181242,0.01018053,0.0004421106,0.002296556,0.002805296,0.00192197,0.2546428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598655,"about_ca_system_score_gemma":0.002464806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058867,"about_ca_topic_score_gemma":0.0347574,"domain_scores_codex":[0.9988897,0.0001480129,0.0001520596,0.0003808156,0.0002468056,0.0001825882],"domain_scores_gemma":[0.9973283,0.0007320421,0.00026202,0.0006928549,0.000683549,0.0003013066],"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":[0.00002941854,0.000009269975,0.0003270975,0.0005655097,0.00001511712,0.00001281739,0.00002240855,0.00009987903,0.0001104725,0.000379089,0.99701,0.001418939],"study_design_scores_gemma":[0.00006415065,0.000006443954,0.001503611,0.0001951858,0.00001362334,0.00002903414,0.00005776017,0.0001028458,0.000174159,0.0007688235,0.9970685,0.00001588637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002940427,0.0000229596,0.00003724173,0.00002985144,0.000009203974,0.000004556428,0.9989445,0.0003103565,0.0006119696],"genre_scores_gemma":[0.0001456515,0.00003447086,0.0001861657,0.00004871488,0.000003325586,0.00004171962,0.9988795,0.0001630584,0.0004974412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8082236,"threshold_uncertainty_score":0.641556,"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."}}