{"id":"W6887332180","doi":"10.15468/dl.ywnaq7","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":[0.001043597,0.002007994,0.001656987,0.005250751,0.001090505,0.002714805,0.002852986,0.002173862,0.1678665],"category_scores_gemma":[0.006442826,0.0009145117,0.001294095,0.01005999,0.0004655596,0.002391994,0.0025844,0.002085506,0.2403597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721329,"about_ca_system_score_gemma":0.002536934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391151,"about_ca_topic_score_gemma":0.03663745,"domain_scores_codex":[0.9989206,0.0001508752,0.0001305709,0.000384112,0.0002372903,0.0001765906],"domain_scores_gemma":[0.9973465,0.000806064,0.00022544,0.0006779837,0.0006564904,0.000287502],"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":[0.00002761395,0.00001077464,0.0003517678,0.0005476241,0.00001401545,0.00001454728,0.00002262617,0.0001123501,0.0001194331,0.0003665211,0.9970635,0.001349315],"study_design_scores_gemma":[0.0000680166,0.000008325127,0.001785567,0.0002173287,0.0000152836,0.00003534148,0.00007463774,0.0001433891,0.0001950918,0.0007623533,0.9966769,0.00001779362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003902755,0.00002981937,0.00004189034,0.00003893053,0.00001187477,0.000005613515,0.9988054,0.0003765111,0.0006508927],"genre_scores_gemma":[0.0001523371,0.00003714377,0.0001856082,0.00004827737,0.000003565079,0.00004489577,0.9988816,0.0001517417,0.0004947652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8321335,"threshold_uncertainty_score":0.5615692,"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."}}