{"id":"W6943341394","doi":"10.15468/dl.uczsem","title":"Occurrence Download","year":2023,"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; 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":[0.0009412608,0.001940379,0.001600457,0.005114809,0.0009508346,0.00238664,0.002751161,0.00198633,0.1470991],"category_scores_gemma":[0.00559357,0.0009092011,0.001133163,0.01023201,0.0004507461,0.00211515,0.002511004,0.001930002,0.2058957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574189,"about_ca_system_score_gemma":0.002258353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210136,"about_ca_topic_score_gemma":0.03653802,"domain_scores_codex":[0.9990476,0.0001258883,0.0001261215,0.0003270612,0.0002137919,0.0001596056],"domain_scores_gemma":[0.9977421,0.0006356556,0.0002286081,0.0005794857,0.0005535256,0.00026065],"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":[0.00003030135,0.00001137949,0.0004323371,0.0006100818,0.00001709124,0.00001654996,0.00002886864,0.0001472759,0.0001431267,0.0004295959,0.9965723,0.001561098],"study_design_scores_gemma":[0.00007220794,0.000007625257,0.002001732,0.0001928114,0.00001523084,0.00003828288,0.00007646831,0.0001504439,0.0001908889,0.000740125,0.9964965,0.00001765118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004423051,0.00002674817,0.00004621149,0.00003132467,0.00001092224,0.000004584123,0.998895,0.0003585607,0.0005824514],"genre_scores_gemma":[0.0001675409,0.00003322234,0.0002000896,0.0000389935,0.000003165308,0.00003790837,0.9989547,0.000152762,0.0004116096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529009,"threshold_uncertainty_score":0.4920955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}