{"id":"W6962727003","doi":"10.15468/dl.uz7zbw","title":"Occurrence Download","year":2022,"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); State (computer science); Confidentiality","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":[0.000969346,0.001933338,0.00150084,0.005113431,0.0009561231,0.002444749,0.002748255,0.002003836,0.1501069],"category_scores_gemma":[0.00558835,0.0008768552,0.00111725,0.009876749,0.0004478965,0.002235315,0.002424134,0.00198062,0.2058748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529191,"about_ca_system_score_gemma":0.002189879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204241,"about_ca_topic_score_gemma":0.03411861,"domain_scores_codex":[0.9990085,0.0001393285,0.0001286756,0.000346059,0.0002117413,0.0001657916],"domain_scores_gemma":[0.9976084,0.0006777673,0.0002370993,0.0006272497,0.000572825,0.0002765964],"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":[0.0000282148,0.00001215666,0.0003948827,0.0005344846,0.0000149871,0.00001512213,0.00002403654,0.0001350821,0.0001177476,0.0003803229,0.9969333,0.001409593],"study_design_scores_gemma":[0.00007328937,0.000008450373,0.001919807,0.0001877765,0.00001440023,0.00003840878,0.00007715038,0.0001566002,0.0001827949,0.0007272069,0.9965968,0.00001732597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004569109,0.00002703382,0.00004420532,0.00003392211,0.00001221618,0.000005251973,0.9988824,0.0003341288,0.0006152734],"genre_scores_gemma":[0.000165485,0.00003171822,0.0001875072,0.00004155599,0.000003521059,0.00004091215,0.9989655,0.0001270013,0.0004368243],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8498932,"threshold_uncertainty_score":0.5021574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}