{"id":"W6943564289","doi":"10.15468/dl.yuzvzw","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); Order (exchange); Data modeling","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":[0.0008886458,0.001945902,0.001595487,0.005476425,0.0009821006,0.002448486,0.002749407,0.001866362,0.1488249],"category_scores_gemma":[0.005350549,0.000888711,0.001149077,0.01119963,0.0004382845,0.002217131,0.00250723,0.001860276,0.2125673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001764502,"about_ca_system_score_gemma":0.002727251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03349791,"about_ca_topic_score_gemma":0.05665231,"domain_scores_codex":[0.9989759,0.0001242996,0.0001253051,0.0003540491,0.0002356497,0.000184835],"domain_scores_gemma":[0.9975774,0.0006105772,0.0002252861,0.000622293,0.0006646146,0.000299919],"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":[0.000028822,0.00001012921,0.0003800864,0.0005375975,0.00001516384,0.00001510478,0.0000235294,0.0001244342,0.0001316667,0.0003672945,0.9969082,0.001457951],"study_design_scores_gemma":[0.00006094322,0.000007485932,0.002081167,0.0001874552,0.0000143884,0.00003443693,0.00007396373,0.0001235668,0.0001999443,0.000650102,0.9965485,0.00001797365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003924659,0.00002551682,0.00003609657,0.00002780064,0.000009523815,0.000004485751,0.9989545,0.0003190784,0.000583634],"genre_scores_gemma":[0.0001465625,0.00003134454,0.0001612032,0.00003514352,0.000002917274,0.0000316882,0.9990304,0.0001248478,0.0004359238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511751,"threshold_uncertainty_score":0.497869,"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."}}