{"id":"W1969576037","doi":"10.1016/j.acra.2011.07.010","title":"Pulmonary Tumor Measurements from X-Ray Computed Tomography in One, Two, and Three Dimensions","year":2011,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Princess Margaret Cancer Centre; Robarts Clinical Trials; University Health Network","funders":"","keywords":"Reproducibility; Imaging phantom; Intraclass correlation; Nuclear medicine; Ground truth; Computed tomography; Medicine; Tomography; Lung cancer; Radiology; Mathematics; Computer science; Pathology; Statistics; Artificial intelligence","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":[0.0008276058,0.0006093976,0.0004522365,0.001933144,0.000235637,0.001581838,0.000401768,0.0009082664,0.002028841],"category_scores_gemma":[0.006138179,0.0004375304,0.0004615847,0.0008110892,0.0005044415,0.0009834657,0.0009981965,0.000727937,0.0004340266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867137,"about_ca_system_score_gemma":0.0003501012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682778,"about_ca_topic_score_gemma":0.003244805,"domain_scores_codex":[0.9989833,0.0002489524,0.0001785308,0.0001025482,0.0003900386,0.00009659953],"domain_scores_gemma":[0.9968904,0.001738075,0.0005811597,0.0001649188,0.000404423,0.0002211373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004818718,0.0002355403,0.753192,0.000414177,0.0003728042,0.001729005,0.000652026,0.01392811,0.1070848,0.001103966,0.001628916,0.1148399],"study_design_scores_gemma":[0.00012855,0.0004765689,0.8936108,0.00005408653,0.000279737,0.004689103,0.0005457375,0.04938316,0.04871121,0.0007039579,0.001278696,0.0001383428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763587,0.001317428,0.01737671,0.000176036,0.00004644769,0.00004166245,0.000744454,0.0005000555,0.003438591],"genre_scores_gemma":[0.9944516,0.0002321159,0.004685716,0.00002705047,0.00002191073,0.00001975881,0.0002416458,0.00003937506,0.0002808061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002682778,"threshold_uncertainty_score":0.006787181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07169713401054129,"score_gpt":0.2867856567757936,"score_spread":0.2150885227652523,"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."}}