{"id":"W7089181848","doi":"10.15468/dl.9mrpqn","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.00098824,0.002065689,0.001603655,0.004848497,0.0008872621,0.002516471,0.002697427,0.002015822,0.1217677],"category_scores_gemma":[0.005598997,0.0008092587,0.001314928,0.008636405,0.0004466963,0.002026133,0.002458166,0.001900446,0.1856692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625731,"about_ca_system_score_gemma":0.002365595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01901111,"about_ca_topic_score_gemma":0.03240935,"domain_scores_codex":[0.9989942,0.0001457381,0.0001351466,0.0003406746,0.0002224986,0.000161757],"domain_scores_gemma":[0.9979424,0.0005349275,0.0001986573,0.0005260795,0.0005363872,0.0002614792],"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":[0.00004019,0.00001208429,0.0004441802,0.0006659489,0.0000216935,0.00001714265,0.0000203913,0.0001671217,0.000146013,0.0003608409,0.9963737,0.001730566],"study_design_scores_gemma":[0.00009118885,0.00001087404,0.001938073,0.0002284554,0.0000186165,0.00004553869,0.00006073578,0.0001814128,0.0002220171,0.0007991398,0.9963865,0.00001744018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004873387,0.00005069565,0.00004108694,0.0000422706,0.00001344189,0.000006378316,0.9987572,0.0003984641,0.0006416619],"genre_scores_gemma":[0.0001686362,0.0000494231,0.0001692608,0.00005549084,0.000003819014,0.00003390955,0.9990153,0.0001080202,0.0003960917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1217677,"threshold_uncertainty_score":0.4073536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732980452785021,"score_gpt":0.2835661290406595,"score_spread":0.2662363245128093,"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."}}