{"id":"W6887031902","doi":"10.15468/dl.nemy46","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":"Matching (statistics); Download; Range (aeronautics); Key (lock)","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":[0.0009401285,0.001945206,0.001618047,0.0053027,0.001011806,0.002708906,0.002746743,0.001948887,0.179108],"category_scores_gemma":[0.006134902,0.0009379275,0.001146105,0.01056843,0.0004207862,0.002352315,0.002462528,0.001918056,0.2354269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604783,"about_ca_system_score_gemma":0.002320636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064231,"about_ca_topic_score_gemma":0.03442286,"domain_scores_codex":[0.9989169,0.0001442608,0.0001420986,0.0003896073,0.0002283372,0.0001788838],"domain_scores_gemma":[0.9975303,0.0006984611,0.0002377636,0.0006053341,0.0006509032,0.0002772415],"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":[0.00003064197,0.00001029392,0.0003630765,0.0005629147,0.0000143764,0.00001415705,0.0000205808,0.0001144173,0.0001124128,0.0003956445,0.9969519,0.001409477],"study_design_scores_gemma":[0.00006731585,0.000008041257,0.001667706,0.0001868809,0.00001384723,0.00003309472,0.00005734993,0.0001189415,0.0001597015,0.0007697072,0.9969002,0.00001723211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003548119,0.00002613428,0.00003705126,0.00003076888,0.00001074416,0.000004306537,0.9989161,0.0002826274,0.000656785],"genre_scores_gemma":[0.0001462453,0.00003578136,0.0001779951,0.00004547951,0.000003568,0.00003919035,0.9988691,0.0001416839,0.0005408949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820892,"threshold_uncertainty_score":0.5991759,"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."}}