{"id":"W6887304277","doi":"10.15468/dl.wvkfhz","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); Range (aeronautics); Alien","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":[0.00102035,0.001868529,0.001563719,0.005006074,0.001031264,0.002485601,0.002719152,0.00215613,0.1487317],"category_scores_gemma":[0.005829652,0.0008598222,0.001244209,0.009683431,0.0004574519,0.002219005,0.002487514,0.00198614,0.2157916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616154,"about_ca_system_score_gemma":0.00241194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210596,"about_ca_topic_score_gemma":0.03624196,"domain_scores_codex":[0.9989053,0.0001498802,0.0001375361,0.0003789415,0.0002428125,0.0001855158],"domain_scores_gemma":[0.997425,0.0007267268,0.0002357009,0.0006835006,0.0006340038,0.0002952092],"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":[0.00002911372,0.00001292801,0.0004267384,0.0005301957,0.00001450707,0.00001566182,0.00002434698,0.0001235547,0.0001317577,0.0003682861,0.9968641,0.001458661],"study_design_scores_gemma":[0.00006759044,0.000009250159,0.002161228,0.0002048293,0.000014644,0.0000390676,0.00008101173,0.0001506869,0.0002021595,0.0007171181,0.9963343,0.00001814034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004692131,0.00002685332,0.00004032491,0.00003579349,0.00001199298,0.000005335363,0.9989046,0.000318942,0.0006091769],"genre_scores_gemma":[0.0001638081,0.00003217529,0.0001854727,0.00004322335,0.000003365508,0.00004181771,0.9989543,0.0001169016,0.0004589353],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8512683,"threshold_uncertainty_score":0.497557,"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."}}