{"id":"W6887353410","doi":"10.15468/dl.yratsh","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); Alien; 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":[0.0009701258,0.001868288,0.001571887,0.004967908,0.001042013,0.00250589,0.002706169,0.002132792,0.1436697],"category_scores_gemma":[0.005874448,0.0008730137,0.001294867,0.009508629,0.0004616136,0.002303367,0.002547951,0.001961539,0.2072224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556853,"about_ca_system_score_gemma":0.002310332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0228395,"about_ca_topic_score_gemma":0.03681689,"domain_scores_codex":[0.9989343,0.0001469678,0.0001367675,0.0003657176,0.0002401237,0.000176106],"domain_scores_gemma":[0.9974371,0.0007447641,0.0002292888,0.0006855751,0.0006255785,0.0002777518],"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":[0.00003078202,0.00001300064,0.0004276532,0.000591445,0.00001468475,0.0000169711,0.00002669809,0.0001254779,0.0001351846,0.0003659667,0.9966938,0.001558297],"study_design_scores_gemma":[0.00007075739,0.0000098891,0.002220889,0.0002136501,0.00001498005,0.00004246506,0.00008846083,0.0001542612,0.000201232,0.0006869285,0.9962781,0.00001837495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005463014,0.00003335308,0.00004451963,0.00004184231,0.0000142274,0.000006160949,0.9987378,0.0004108074,0.000656741],"genre_scores_gemma":[0.0001779,0.00003803324,0.0002010234,0.00004826062,0.000003876295,0.00004466946,0.9988674,0.0001364583,0.0004824507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563303,"threshold_uncertainty_score":0.480623,"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."}}