{"id":"W6962049138","doi":"10.15468/dl.wbnb9v","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); Set (abstract data type); 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":[0.001136724,0.001946677,0.001654677,0.005478282,0.001034563,0.002812146,0.002859305,0.00197446,0.1783108],"category_scores_gemma":[0.006483593,0.0009962156,0.001111038,0.01076434,0.0004541548,0.002375889,0.00265128,0.002032673,0.2315093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629026,"about_ca_system_score_gemma":0.002472805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210309,"about_ca_topic_score_gemma":0.03384118,"domain_scores_codex":[0.9988694,0.0001499723,0.0001527055,0.0003864406,0.0002555284,0.0001859915],"domain_scores_gemma":[0.9973053,0.0007890281,0.0002537469,0.0006967984,0.0006444692,0.0003106559],"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":[0.00002882444,0.0000105602,0.0003422983,0.0005455819,0.0000147459,0.00001508297,0.00002441204,0.0001123761,0.0001181635,0.0004079191,0.9970394,0.001340658],"study_design_scores_gemma":[0.00006753414,0.000006894574,0.001644391,0.0001900338,0.00001381317,0.00003539894,0.00007039135,0.0001223001,0.0001787063,0.0007150507,0.9969389,0.00001661511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003460742,0.00002286458,0.00004344549,0.00003110526,0.00001049032,0.00000490709,0.9988945,0.0003346102,0.0006235331],"genre_scores_gemma":[0.0001470887,0.00003193208,0.0001876983,0.00004008775,0.000003113099,0.0000394888,0.998936,0.000162126,0.0004525139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8216892,"threshold_uncertainty_score":0.596509,"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."}}