{"id":"W6905849998","doi":"10.15468/dl.uxq99h","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":[0.001125589,0.001916382,0.001659461,0.005406523,0.001054233,0.002957006,0.002983484,0.002013366,0.1877517],"category_scores_gemma":[0.006770229,0.001003645,0.001174398,0.0109889,0.0004521908,0.002516378,0.002744205,0.002063936,0.2465236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588897,"about_ca_system_score_gemma":0.002422746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092153,"about_ca_topic_score_gemma":0.03379056,"domain_scores_codex":[0.998869,0.0001522259,0.0001505272,0.0003932149,0.00025297,0.0001821414],"domain_scores_gemma":[0.9972361,0.0008054645,0.0002561242,0.0007138879,0.0006805641,0.0003079032],"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":[0.00002578319,0.0000093332,0.0003246196,0.0005477149,0.00001469823,0.00001430561,0.00002409327,0.0001030734,0.0001048944,0.0003987796,0.9971084,0.001324306],"study_design_scores_gemma":[0.00005881627,0.000006145558,0.001502066,0.0001857777,0.00001370021,0.00003223619,0.0000678512,0.0001093935,0.0001594083,0.0007301118,0.9971181,0.00001637047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000031649,0.00002376913,0.000046096,0.00003256337,0.00001060541,0.000004726189,0.9988437,0.0003546495,0.0006522471],"genre_scores_gemma":[0.0001439683,0.00003514502,0.0001966467,0.00004405689,0.000003295543,0.00004245064,0.9988588,0.0001850142,0.0004907448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8122483,"threshold_uncertainty_score":0.6280921,"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."}}