{"id":"W6924414033","doi":"10.15468/dl.stxp5w","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); Confidentiality; Training set","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":[0.0009597286,0.001955559,0.001613335,0.004972158,0.0009801348,0.002545467,0.002816636,0.00199235,0.161185],"category_scores_gemma":[0.005854802,0.0009451412,0.001174427,0.01014547,0.0004457575,0.002237704,0.002575882,0.001996272,0.2158644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600473,"about_ca_system_score_gemma":0.002352992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372167,"about_ca_topic_score_gemma":0.03636918,"domain_scores_codex":[0.9989992,0.0001297625,0.0001250685,0.0003456172,0.000232796,0.0001675368],"domain_scores_gemma":[0.9976531,0.0006641711,0.0002225715,0.0006165612,0.0005746108,0.0002690823],"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":[0.00002832576,0.00001038976,0.0003727881,0.0005254987,0.00001532231,0.00001450537,0.0000253494,0.0001298843,0.0001265728,0.000396702,0.9968501,0.001504639],"study_design_scores_gemma":[0.0000691151,0.000007309347,0.001849814,0.0001830531,0.0000143248,0.00003646197,0.00007281765,0.000147463,0.0001972753,0.0007311091,0.9966738,0.00001742337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004002759,0.00002578878,0.000048506,0.00003280384,0.00001100808,0.000004812051,0.9988084,0.0004174604,0.0006112676],"genre_scores_gemma":[0.0001621016,0.00003243838,0.0002016282,0.0000419247,0.000003014902,0.00003909918,0.9989128,0.0001724367,0.00043454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838815,"threshold_uncertainty_score":0.5392174,"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."}}