{"id":"W6887158517","doi":"10.15468/dl.tthh3z","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); Data set","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":[0.0009526291,0.001970942,0.001591358,0.004741004,0.001005764,0.002541835,0.002828769,0.002109456,0.1601192],"category_scores_gemma":[0.005711147,0.0009216703,0.001129998,0.009663516,0.0004659447,0.002484159,0.002593207,0.002075854,0.2212526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578738,"about_ca_system_score_gemma":0.002329557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02195622,"about_ca_topic_score_gemma":0.0388508,"domain_scores_codex":[0.999001,0.0001413112,0.0001226921,0.0003568771,0.0002160947,0.0001620776],"domain_scores_gemma":[0.9975535,0.000689846,0.0002292805,0.0006514823,0.0005918503,0.0002840746],"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":[0.0000276008,0.00001138899,0.000347491,0.000513736,0.00001352377,0.00001440549,0.00002437574,0.0001240269,0.0001043745,0.0003874314,0.9971541,0.001277613],"study_design_scores_gemma":[0.00007309974,0.000007202565,0.001656578,0.0001739781,0.00001250529,0.00003301485,0.00007425358,0.0001388473,0.0001673104,0.0008337221,0.9968119,0.00001752738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003882197,0.00002328198,0.00004406886,0.00003430211,0.00001067094,0.000005059677,0.9988538,0.0003523127,0.0006376454],"genre_scores_gemma":[0.0001642924,0.00003090394,0.0002075267,0.00004436845,0.000003239637,0.00004375751,0.9988741,0.0001532874,0.000478427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398808,"threshold_uncertainty_score":0.5356521,"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."}}