{"id":"W6887258744","doi":"10.15468/dl.zt6pja","title":"Occurrence Download","year":2021,"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; Extant taxon; Matching (statistics); Range (aeronautics)","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":[0.001010091,0.002010884,0.001688555,0.005145429,0.001008382,0.002803307,0.00279648,0.002036314,0.2133656],"category_scores_gemma":[0.006475789,0.0009818531,0.001199843,0.009804117,0.0004403562,0.00267309,0.002752674,0.00201423,0.2816067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675964,"about_ca_system_score_gemma":0.00234239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02370913,"about_ca_topic_score_gemma":0.037264,"domain_scores_codex":[0.998983,0.0001299064,0.000124468,0.000361898,0.0002247073,0.0001760889],"domain_scores_gemma":[0.9973415,0.0007447694,0.0002379287,0.0006796682,0.0006736655,0.0003226256],"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":[0.00002353988,0.000008923559,0.0002795496,0.0004219493,0.0000113296,0.00001139235,0.00001948557,0.00009322429,0.00007631061,0.0003114867,0.9974933,0.001249564],"study_design_scores_gemma":[0.00006836715,0.000007599037,0.00161835,0.0001846677,0.00001273182,0.00003039716,0.00006687175,0.0001399506,0.0001531031,0.0007714194,0.9969301,0.00001633595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002987345,0.00001955214,0.00003666187,0.00003289011,0.00001109446,0.000004732579,0.9988587,0.0003809315,0.0006256255],"genre_scores_gemma":[0.0001370673,0.00002940569,0.0001787297,0.00004301077,0.000003679424,0.00004112011,0.9988458,0.0001864533,0.000534768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7866344,"threshold_uncertainty_score":0.7137792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}