{"id":"W6962190172","doi":"10.15468/dl.q4k4vj","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); State (computer science); 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":[0.0008874324,0.002013174,0.001612445,0.005184843,0.001187084,0.002722956,0.002956649,0.002349062,0.1514138],"category_scores_gemma":[0.005665657,0.0009510176,0.001455868,0.009620422,0.0004652088,0.002566979,0.002771635,0.00215778,0.224193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606844,"about_ca_system_score_gemma":0.002511589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100269,"about_ca_topic_score_gemma":0.03650781,"domain_scores_codex":[0.9989066,0.0001447646,0.0001417335,0.0004023981,0.0002194563,0.0001850751],"domain_scores_gemma":[0.9976327,0.0006421163,0.0001991357,0.000658413,0.0005989015,0.0002687404],"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":[0.00003300246,0.00001367535,0.000484583,0.0006592922,0.00001660157,0.00001953658,0.00002767003,0.0001320359,0.0001396684,0.0003886822,0.9963461,0.001739123],"study_design_scores_gemma":[0.00006968142,0.000009288065,0.001911629,0.0002033119,0.00001595972,0.00004762553,0.00008430608,0.0001877315,0.0002045507,0.0007620514,0.9964855,0.00001844909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006068509,0.00003977094,0.00005641474,0.00004726538,0.00001664228,0.000007233011,0.9984636,0.0005312718,0.0007771997],"genre_scores_gemma":[0.000172992,0.00003961057,0.0002240864,0.00005584462,0.000003961448,0.00004458159,0.9988039,0.000147228,0.0005078368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485862,"threshold_uncertainty_score":0.5065296,"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."}}