{"id":"W2123685758","doi":"10.1148/radiol.12102489","title":"Lung Cancers Diagnosed at Annual CT Screening: Volume Doubling Times","year":2012,"lang":"en","type":"article","venue":"Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Doubling time; Lung; Nuclear medicine; Radiology; Internal medicine; Cell","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":[0.00297979,0.0003292971,0.0004543391,0.001805235,0.0001792599,0.001056786,0.0007529125,0.0005961674,0.00141172],"category_scores_gemma":[0.01812336,0.0002271655,0.0003951088,0.00114155,0.0003455481,0.0009500548,0.0004237937,0.0007709306,0.0004928955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008431861,"about_ca_system_score_gemma":0.0002883474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773268,"about_ca_topic_score_gemma":0.001292473,"domain_scores_codex":[0.9978193,0.0005475825,0.0001836993,0.0007236789,0.0005557188,0.0001700364],"domain_scores_gemma":[0.9847696,0.008820785,0.003838591,0.001050304,0.001049748,0.0004710964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004837233,0.00002666567,0.9862984,0.00003419733,0.00007677454,0.0001063236,0.0000767596,0.002002056,0.001367246,0.0001600215,0.0003457515,0.009021972],"study_design_scores_gemma":[0.00002112035,0.0003680868,0.9652929,0.00003259139,0.00009695274,0.003256781,0.0001746023,0.02355116,0.004270682,0.0009522796,0.001953422,0.00002945041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833704,0.002603265,0.008014434,0.0001699082,0.00002832452,0.00005896787,0.002257557,0.0001831151,0.003313874],"genre_scores_gemma":[0.9978835,0.000132925,0.001063664,0.00002319713,0.00001680825,0.00001461976,0.0006724701,0.00001860653,0.0001741915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00297979,"threshold_uncertainty_score":0.01575881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607819919928744,"score_gpt":0.2949654347530528,"score_spread":0.2788872355537654,"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."}}