{"id":"W6962160184","doi":"10.15468/dl.rkmvu2","title":"Occurrence Download","year":2021,"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); Odocoileus; Set (abstract data type)","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":[0.0009198985,0.002009988,0.001536145,0.004964263,0.0009786866,0.002531238,0.002966242,0.002145935,0.14164],"category_scores_gemma":[0.005865099,0.0009270501,0.001157907,0.009515881,0.0004607157,0.002313028,0.002437913,0.00217568,0.2004269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738884,"about_ca_system_score_gemma":0.002306787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057146,"about_ca_topic_score_gemma":0.03183084,"domain_scores_codex":[0.9989875,0.0001417453,0.0001287976,0.000353403,0.0002279624,0.0001605849],"domain_scores_gemma":[0.9975845,0.0006995883,0.0002308932,0.0006495068,0.0005623388,0.0002731071],"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":[0.00002766807,0.0000124937,0.0003754951,0.0004937452,0.00001313035,0.00001427612,0.0000225331,0.0001313122,0.00009493977,0.000338013,0.9970444,0.001432015],"study_design_scores_gemma":[0.00007662314,0.000009018752,0.001955095,0.0001913956,0.00001440196,0.00004140547,0.00008197204,0.0002112085,0.0002099441,0.0007424268,0.9964489,0.00001754019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004705909,0.00002583876,0.00004326427,0.00004002715,0.0000114659,0.000005975132,0.998866,0.0003790052,0.000581518],"genre_scores_gemma":[0.000167731,0.00003172684,0.0001933931,0.00004193131,0.000003277165,0.00004844137,0.9988959,0.0001265203,0.0004911132],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8583601,"threshold_uncertainty_score":0.4738329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}