{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001625143,0.0001765053,0.0004080159,0.00008221222,0.0001047612,0.00000565385,0.00006938428,0.00007729991,0.001264765],"category_scores_gemma":[0.00004805758,0.0001420064,0.0001202003,0.0001073505,0.00009469772,0.00009902412,0.00005100491,0.0001280303,0.0001556234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009392882,"about_ca_system_score_gemma":0.00009004679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238345,"about_ca_topic_score_gemma":0.00004042653,"domain_scores_codex":[0.9987937,0.00005555521,0.0002041579,0.000266156,0.000124181,0.0005562711],"domain_scores_gemma":[0.9991958,0.0001400181,0.00007827168,0.0002709492,0.00004073375,0.0002742497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001945365,0.0001639345,0.8279051,0.0000345146,0.0003690747,0.0001311352,0.0005657306,0.00004275972,0.00007057159,0.0002220227,0.1645887,0.005711871],"study_design_scores_gemma":[0.01014502,0.0008936422,0.5556219,0.0001229866,0.000656729,0.0009782324,0.0002379917,0.0008568424,0.001254736,0.00001041876,0.4288624,0.0003592102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794962,0.01328682,0.0001038671,0.002318304,0.000809625,0.0004048898,0.00004856572,0.0001025969,0.003429146],"genre_scores_gemma":[0.9940045,0.0005330976,0.000567406,0.0008405052,0.001022693,0.0001322159,0.0001131537,0.00002948591,0.002756979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2722833,"threshold_uncertainty_score":0.9996482,"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."}}