{"id":"W6887086255","doi":"10.15468/dl.nsavwo","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Biodiversity; Matching (statistics); Range (aeronautics); Center (category theory)","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":[0.001058111,0.002272736,0.001790115,0.006604675,0.001140312,0.003306611,0.003197791,0.00213526,0.179763],"category_scores_gemma":[0.007178459,0.001015429,0.001618157,0.01245837,0.0004461929,0.003072516,0.003171086,0.002189018,0.2757291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706394,"about_ca_system_score_gemma":0.002459676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011718,"about_ca_topic_score_gemma":0.03177316,"domain_scores_codex":[0.9987087,0.0001592783,0.0001781258,0.0004713199,0.0002702452,0.0002123304],"domain_scores_gemma":[0.9971602,0.0007810342,0.0002394751,0.0007927775,0.0007285842,0.0002979276],"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":[0.00003214488,0.000009702836,0.0003637372,0.0006604586,0.0000168013,0.00001630766,0.00002472004,0.0001128535,0.0001032346,0.00038042,0.996461,0.001818691],"study_design_scores_gemma":[0.00006155304,0.000008115573,0.001544091,0.0002020411,0.00001458562,0.00003730776,0.00007628425,0.0001449566,0.0001587558,0.0007647051,0.9969708,0.00001687585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003615162,0.00002992873,0.00005063855,0.00003625026,0.00001370138,0.000006113476,0.9986776,0.0004990792,0.0006506359],"genre_scores_gemma":[0.000125906,0.00003842721,0.0002075961,0.00004189585,0.000004014431,0.00004509376,0.9988663,0.0001801962,0.0004905569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820237,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}