{"id":"W6962238230","doi":"10.15468/dl.muc9z5","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Alien; Identification (biology)","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":[0.0009263337,0.002073415,0.001657939,0.005620767,0.0009968489,0.002919266,0.002831318,0.001906546,0.2126884],"category_scores_gemma":[0.006488746,0.00102149,0.001281478,0.01145628,0.0004309784,0.002503137,0.002839138,0.001907344,0.2805275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677703,"about_ca_system_score_gemma":0.00265221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284567,"about_ca_topic_score_gemma":0.03612627,"domain_scores_codex":[0.9988837,0.000145274,0.00014942,0.0004059018,0.000230475,0.0001851606],"domain_scores_gemma":[0.9975267,0.0006868874,0.0002296013,0.0006290597,0.0006547169,0.0002729556],"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":[0.00002811289,0.000008351333,0.0003136245,0.0005949612,0.00001341022,0.00001268309,0.00002226674,0.00009552655,0.0000925604,0.0003842278,0.9968665,0.001567798],"study_design_scores_gemma":[0.00005588589,0.000006737883,0.001247091,0.0001704917,0.00001307131,0.00003037875,0.00005436431,0.0001018129,0.0001423979,0.0007343247,0.9974281,0.00001531265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003117795,0.00003026933,0.00004401616,0.00003319452,0.00001122235,0.000004701456,0.9986809,0.0004220592,0.0007423564],"genre_scores_gemma":[0.0001501527,0.00004744306,0.0002273789,0.00005544499,0.000003814563,0.00004389189,0.9985669,0.0002149961,0.0006900083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7873116,"threshold_uncertainty_score":0.7115137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}