{"id":"W6961783775","doi":"10.15468/dl.mad5e5","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); R package; UniProt","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":[0.0009253033,0.002035217,0.001535382,0.004530356,0.000969957,0.002390159,0.002794233,0.001998736,0.1432562],"category_scores_gemma":[0.005638154,0.0009159475,0.001198094,0.008892208,0.0004405853,0.002202878,0.002484669,0.001984865,0.2115355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579589,"about_ca_system_score_gemma":0.002264149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379071,"about_ca_topic_score_gemma":0.03947736,"domain_scores_codex":[0.9990526,0.000123173,0.0001159292,0.000335738,0.0002126465,0.0001599517],"domain_scores_gemma":[0.9977602,0.0006159682,0.0002013317,0.0006228139,0.0005370339,0.0002626147],"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":[0.0000280549,0.00001095574,0.000391023,0.000466048,0.00001454233,0.00001437438,0.00002474097,0.0001296717,0.0001230615,0.0003732253,0.9970421,0.001382185],"study_design_scores_gemma":[0.00006993123,0.000007998833,0.001898067,0.0001692464,0.0000143534,0.00003870486,0.00007327583,0.0001779699,0.0002131347,0.0007614208,0.9965581,0.00001763763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004534185,0.0000248651,0.00005106261,0.00003365156,0.00001191354,0.000005019644,0.9987332,0.0004694806,0.0006254777],"genre_scores_gemma":[0.0001585673,0.00002824204,0.0002025052,0.00003912212,0.000003017459,0.00003719523,0.9989461,0.0001645679,0.0004206347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567438,"threshold_uncertainty_score":0.4792396,"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."}}