{"id":"W6943585675","doi":"10.15468/dl.kakd5q","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.001024017,0.001984004,0.001604451,0.005130141,0.001015728,0.002630292,0.002753613,0.002113578,0.153956],"category_scores_gemma":[0.006028254,0.0009145549,0.001264409,0.009808007,0.0004579323,0.002233451,0.002508607,0.002049268,0.2224247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611212,"about_ca_system_score_gemma":0.002428475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274652,"about_ca_topic_score_gemma":0.03650242,"domain_scores_codex":[0.998929,0.0001489561,0.00013081,0.0003721931,0.0002376567,0.0001814808],"domain_scores_gemma":[0.9974004,0.0007598332,0.0002403678,0.0006900898,0.0006147545,0.0002945093],"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":[0.00002889998,0.00001195208,0.0003964695,0.0005125984,0.00001465569,0.00001504189,0.00002395644,0.0001241309,0.0001149903,0.0003614329,0.9969844,0.001411415],"study_design_scores_gemma":[0.00007267691,0.000009038996,0.002063294,0.0002102453,0.00001539844,0.00003898088,0.00008018871,0.0001539332,0.0001951544,0.0007722028,0.996371,0.0000178679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004528572,0.00002780283,0.00004220582,0.00003660141,0.00001207812,0.000005183758,0.9988667,0.0003671859,0.0005971206],"genre_scores_gemma":[0.0001561943,0.00003244736,0.0001820601,0.00004416524,0.000003379497,0.00004006462,0.9989547,0.0001367281,0.000450257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460439,"threshold_uncertainty_score":0.5150343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}