{"id":"W2790188928","doi":"10.1097/rti.0b013e31820325b4","title":"In With the New!","year":2011,"lang":"en","type":"article","venue":"Journal of Thoracic Imaging","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Quarter (Canadian coin); Cover (algebra); Public relations; Political science; History","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":[0.0001895306,0.00005363532,0.0001291433,0.00006972838,0.00001747949,0.000009283839,0.00005496409,0.000007558147,0.0001012608],"category_scores_gemma":[0.00001039418,0.0000244203,0.00004646411,0.00009609747,0.00002136286,0.0001258999,0.000008716866,0.0001406141,0.000005877562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000094782,"about_ca_system_score_gemma":0.0001196611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007128874,"about_ca_topic_score_gemma":0.00001406615,"domain_scores_codex":[0.9995649,0.00001609119,0.0001350374,0.00004651659,0.0001429367,0.00009448278],"domain_scores_gemma":[0.9996542,0.00002170398,0.000118465,0.00009447881,0.00005193103,0.00005926211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001492202,0.000467778,0.8052569,0.00006273985,0.0002540077,0.00371016,0.006550748,0.00001056833,0.0003356514,0.0001372038,0.04675696,0.1349651],"study_design_scores_gemma":[0.006187395,0.00153071,0.8605092,0.003037916,0.001392835,0.01066168,0.003521647,0.000145923,0.05067119,0.001673778,0.06034743,0.0003202644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088115,0.004431651,0.001237534,0.06864538,0.0003389743,0.0002125002,3.438228e-7,0.000008844632,0.0163133],"genre_scores_gemma":[0.9953449,0.00006205098,0.00288187,0.001175195,0.0001812765,0.000001204194,6.35907e-8,0.000007717603,0.0003457655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346448,"threshold_uncertainty_score":0.1108734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024059448625821,"score_gpt":0.3299195908376854,"score_spread":0.3096789963514271,"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."}}