{"id":"W6905874581","doi":"10.15468/dl.nw2a56","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); State (computer science); Confidentiality","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":[0.001039888,0.00200284,0.001614008,0.005236394,0.000992295,0.002569451,0.002877245,0.002102149,0.1612877],"category_scores_gemma":[0.006166756,0.0008946157,0.001174158,0.009939421,0.0004584494,0.002376274,0.002582858,0.002025979,0.2219964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156546,"about_ca_system_score_gemma":0.002267527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001825,"about_ca_topic_score_gemma":0.03279468,"domain_scores_codex":[0.9989435,0.0001478742,0.0001373095,0.0003725884,0.000222415,0.0001762504],"domain_scores_gemma":[0.9974439,0.0007312722,0.0002470605,0.0006698369,0.000614728,0.0002931326],"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":[0.00002810408,0.00001135638,0.000363139,0.0005490349,0.00001520496,0.00001474631,0.00002360322,0.0001297407,0.0001131007,0.0003714106,0.9969944,0.001386221],"study_design_scores_gemma":[0.00007035999,0.000008079512,0.001730718,0.0001924525,0.00001447713,0.00003658896,0.0000742636,0.0001507749,0.000177209,0.0007758581,0.9967515,0.00001763964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004017417,0.00002708717,0.00004440137,0.00003500893,0.0000124513,0.000005201331,0.9988939,0.0003441127,0.0005976681],"genre_scores_gemma":[0.0001575917,0.0000331604,0.0001932786,0.00004356235,0.000003666011,0.0000423223,0.9989389,0.0001384749,0.0004490954],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8387123,"threshold_uncertainty_score":0.5395609,"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."}}