{"id":"W6887103081","doi":"10.15468/dl.m7pcnq","title":"Occurrence Download","year":2022,"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":[0.001017833,0.001945635,0.001592689,0.005055476,0.001032569,0.002675197,0.002797253,0.002149667,0.1641275],"category_scores_gemma":[0.006522472,0.0009223124,0.001282015,0.009377916,0.0004544169,0.002494971,0.002599202,0.002040987,0.2230533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597022,"about_ca_system_score_gemma":0.002329825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02142573,"about_ca_topic_score_gemma":0.03391358,"domain_scores_codex":[0.9989588,0.0001455196,0.0001312723,0.0003673355,0.0002287402,0.0001683419],"domain_scores_gemma":[0.997387,0.0008135805,0.0002212846,0.0006695164,0.0006261707,0.0002825171],"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":[0.00002792941,0.00001207981,0.0004019086,0.0005807744,0.0000147534,0.0000166748,0.0000248014,0.0001268911,0.0001164,0.0003575356,0.9968731,0.00144713],"study_design_scores_gemma":[0.00007231453,0.000009109505,0.001980339,0.0002290484,0.00001560321,0.00004129209,0.00008665372,0.0001743498,0.000191173,0.0008006658,0.9963803,0.00001911162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004379921,0.00002962795,0.0000460115,0.00004191136,0.00001373858,0.000005945997,0.9987894,0.0004033336,0.0006263579],"genre_scores_gemma":[0.0001693315,0.00003736758,0.0002101558,0.00005082872,0.000003929918,0.00004852479,0.9988503,0.0001555632,0.0004738634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8358725,"threshold_uncertainty_score":0.5490612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}