{"id":"W6887326666","doi":"10.15468/dl.xvyerp","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; The Internet","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":[0.0010622,0.00186826,0.001572493,0.00502575,0.0009864066,0.002520204,0.002752383,0.002010124,0.1608239],"category_scores_gemma":[0.00624396,0.0009004007,0.001214666,0.009725876,0.0004448339,0.002232124,0.002446237,0.001999237,0.2129736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582883,"about_ca_system_score_gemma":0.002366018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132625,"about_ca_topic_score_gemma":0.03320021,"domain_scores_codex":[0.9989439,0.0001439571,0.0001339486,0.0003730981,0.0002308855,0.0001742483],"domain_scores_gemma":[0.9974042,0.0007800487,0.0002387988,0.000668235,0.0006204843,0.0002882192],"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":[0.00002948474,0.00001179378,0.0003908344,0.0005719668,0.00001511566,0.00001533707,0.00002348967,0.0001313496,0.0001336282,0.0003771587,0.9968312,0.001468531],"study_design_scores_gemma":[0.00007018713,0.000008872818,0.002025336,0.0002089466,0.00001543251,0.00003665629,0.00007492358,0.0001501409,0.0002048964,0.0007668141,0.9964195,0.00001817146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004144662,0.00002551658,0.00004224554,0.00003423155,0.00001135688,0.000005303679,0.9989165,0.000335498,0.0005878473],"genre_scores_gemma":[0.0001632712,0.00003340137,0.0001940425,0.00004399102,0.000003278144,0.00004432916,0.9989265,0.0001396084,0.0004516195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391761,"threshold_uncertainty_score":0.5380096,"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."}}