{"id":"W4253704600","doi":"10.1055/a-1108-8294","title":"Vancouver Risk Calculator vs. Lungen-RADS","year":2020,"lang":"en","type":"article","venue":"Pneumologie","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calculator; Medicine; Lung; Nuclear medicine; Computer science; Internal medicine; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005360942,0.0001486036,0.0002887703,0.00002151603,0.00005294661,0.000009685184,0.00007767414,0.00007767192,0.0003103269],"category_scores_gemma":[0.0001738023,0.0001072843,0.000132919,0.0001246221,0.00004106757,0.0000353495,0.00005470325,0.0001589935,0.0003241928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001776843,"about_ca_system_score_gemma":0.00009090327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000838646,"about_ca_topic_score_gemma":0.00003560274,"domain_scores_codex":[0.9990507,0.00002901126,0.0001629742,0.0003322613,0.0001789608,0.0002460567],"domain_scores_gemma":[0.9993488,0.00005556654,0.0000588368,0.0002544566,0.00003989432,0.0002424471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000228337,0.0002704167,0.8762061,0.0001122432,0.0003461507,0.0005402336,0.0002565172,0.00003675694,0.0003973944,0.0001456229,0.1129137,0.008546507],"study_design_scores_gemma":[0.004577295,0.002578557,0.721756,0.00009713048,0.001146363,0.00002979005,0.0001040109,0.0006794679,0.01239344,0.0003094348,0.2558969,0.000431625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730375,0.002176654,0.0001135546,0.01660109,0.0007817877,0.0005364575,0.00003818464,0.0003247905,0.006390026],"genre_scores_gemma":[0.9935998,0.0005406591,0.0003859515,0.004849879,0.0003158179,0.00006001845,0.000008887481,0.00002152804,0.000217474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1544501,"threshold_uncertainty_score":0.4374927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933956278591592,"score_gpt":0.2876614884325014,"score_spread":0.2583219256465855,"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."}}