{"id":"W2042758325","doi":"10.1055/s-2006-946656","title":"The role of simulators, models, phantoms. Where's the evidence?","year":2006,"lang":"en","type":"article","venue":"Endoscopy","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Learning curve; Medical physics; Radiology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07011064,0.001595462,0.003205124,0.003613185,0.001029297,0.00832284,0.003499361,0.008505,0.0170735],"category_scores_gemma":[0.1867226,0.0007289144,0.001719176,0.002003892,0.00604531,0.0138089,0.003933808,0.00708749,0.005379669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761743,"about_ca_system_score_gemma":0.006836872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005037418,"about_ca_topic_score_gemma":0.008072859,"domain_scores_codex":[0.970669,0.02115967,0.002772916,0.001019954,0.00404853,0.0003298449],"domain_scores_gemma":[0.7714806,0.1792109,0.01210593,0.01108742,0.02165266,0.00446264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006926312,0.0001793215,0.002545205,0.01654364,0.0003430929,0.0002085302,0.0003727814,0.0004659028,0.0003055165,0.018427,0.0768875,0.883029],"study_design_scores_gemma":[0.0005258676,0.0009921495,0.004180409,0.1545842,0.001049628,0.002291368,0.001809819,0.001061055,0.0005505456,0.05116258,0.7815662,0.0002261092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001158715,0.8434829,0.003768236,0.1293668,0.00860276,0.0001478497,0.0002226316,0.0001486032,0.01310146],"genre_scores_gemma":[0.03859936,0.8671771,0.02162338,0.05393514,0.01172115,0.0004924722,0.0003085854,0.0002498209,0.005893075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.07011064,"threshold_uncertainty_score":0.3707849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309739208310842,"score_gpt":0.2843954123677067,"score_spread":0.2712980202845982,"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."}}