{"id":"W6906308337","doi":"10.15468/dl.zghrg2","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); UniProt; R package","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":[],"consensus_categories":[],"category_scores_codex":[0.001165768,0.002017232,0.001633332,0.004957249,0.001108141,0.002658776,0.002999103,0.002149896,0.1562899],"category_scores_gemma":[0.006714563,0.0009925332,0.001208144,0.009500146,0.000477351,0.00237884,0.002702698,0.002157995,0.2183564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674268,"about_ca_system_score_gemma":0.00249438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211652,"about_ca_topic_score_gemma":0.03395831,"domain_scores_codex":[0.9988495,0.0001572985,0.0001502516,0.0003958466,0.000262227,0.0001848948],"domain_scores_gemma":[0.9972819,0.0007843978,0.0002443428,0.0007317701,0.0006641375,0.0002934653],"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":[0.00003144364,0.0000126119,0.0003869501,0.000566154,0.0000156381,0.00001706222,0.00002700023,0.0001277824,0.0001482066,0.0004165697,0.9968347,0.001415982],"study_design_scores_gemma":[0.00007051542,0.000008064969,0.001843352,0.0001944438,0.00001482532,0.00003992519,0.00007732073,0.000143782,0.0002197143,0.000764871,0.996604,0.00001910037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004195804,0.00002468756,0.00005204908,0.00003536225,0.00001234158,0.000005621145,0.9987665,0.0004216693,0.0006398465],"genre_scores_gemma":[0.0001505843,0.00002957131,0.0002170782,0.00004057003,0.000002990877,0.00004416141,0.9989308,0.0001689552,0.0004152289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1562899,"threshold_uncertainty_score":0.5228419,"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."}}