{"id":"W6887004433","doi":"10.15468/dl.m89trb","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); Data set","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":[0.0009668469,0.001897549,0.001620612,0.004861352,0.001010159,0.002656528,0.002834092,0.002085846,0.1594108],"category_scores_gemma":[0.005623817,0.0009056226,0.001167481,0.009617033,0.0004387671,0.002499667,0.002562201,0.002046078,0.2300739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517989,"about_ca_system_score_gemma":0.002200513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893833,"about_ca_topic_score_gemma":0.03436713,"domain_scores_codex":[0.9989924,0.0001404481,0.0001259729,0.0003595396,0.0002172724,0.0001644498],"domain_scores_gemma":[0.9976752,0.0006367379,0.000211734,0.0006326398,0.0005739206,0.0002697188],"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":[0.00002772012,0.0000110498,0.00034077,0.0005407953,0.00001460664,0.00001436333,0.00002324416,0.0001263385,0.000118098,0.0004127063,0.9969879,0.001382364],"study_design_scores_gemma":[0.00006084876,0.0000068984,0.001537275,0.0001646438,0.00001213708,0.00003147776,0.00006478454,0.0001261043,0.0001549857,0.0007379294,0.9970869,0.00001595862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004112653,0.00002812619,0.00004769128,0.00003575538,0.00001299232,0.000004997062,0.9987914,0.0003502648,0.000687671],"genre_scores_gemma":[0.0001516007,0.00003434853,0.0002057287,0.00004262283,0.000003548339,0.00003901534,0.9988833,0.0001455387,0.0004942353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405892,"threshold_uncertainty_score":0.5332824,"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."}}