{"id":"W6962324815","doi":"10.15468/dl.tavhum","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Download; Biodiversity conservation; Entomology; Range (aeronautics); Data collection","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":["insufficient_payload"],"category_scores_codex":[0.0008576718,0.002899166,0.002464661,0.00655448,0.001249169,0.003792268,0.002675394,0.002336019,0.4086358],"category_scores_gemma":[0.006256971,0.001075532,0.002024104,0.009986229,0.0003933785,0.003741155,0.003799995,0.002112173,0.4645225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502691,"about_ca_system_score_gemma":0.00244135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02188557,"about_ca_topic_score_gemma":0.03367063,"domain_scores_codex":[0.9988206,0.0001312572,0.0001664489,0.0004436133,0.0002329969,0.0002050105],"domain_scores_gemma":[0.9972982,0.0007805495,0.0001966413,0.0006505864,0.0006898624,0.0003841179],"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":[0.00005048611,0.00001538524,0.0002608684,0.0005804704,0.00001456059,0.0000192463,0.00002396427,0.0001083231,0.00008817865,0.0003520222,0.9953928,0.003093762],"study_design_scores_gemma":[0.0001146455,0.0000164781,0.001376262,0.0001953281,0.00002005393,0.00004593097,0.00009106648,0.0003277482,0.0001765697,0.001417916,0.9961908,0.00002723213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004930924,0.00004444217,0.0001119357,0.00005602191,0.00002968782,0.00001304372,0.9960459,0.001818362,0.001831276],"genre_scores_gemma":[0.0002444903,0.00007356629,0.0006355756,0.0001096055,0.00001088571,0.00007855813,0.9966858,0.0005973787,0.001564112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5913641,"threshold_uncertainty_score":0.8435092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}