{"id":"W2533714315","doi":"10.1017/9781139939508.028","title":"Carcinoembryonic antigen (CEA)","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carcinoembryonic antigen; Computer science; Medicine; Internal medicine; Cancer","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":[0.0001848089,0.0008766439,0.0006488999,0.001767359,0.0002660301,0.001404209,0.0004548357,0.0006450938,0.1244912],"category_scores_gemma":[0.0004629779,0.0003040545,0.0004517899,0.00157252,0.0002728098,0.00127551,0.000668593,0.001441981,0.09269968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146022,"about_ca_system_score_gemma":0.0004920724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194105,"about_ca_topic_score_gemma":0.002262376,"domain_scores_codex":[0.9998403,0.00001062141,0.000005873763,0.00003142919,0.00009727856,0.00001461201],"domain_scores_gemma":[0.9998851,0.00004136161,0.000008158273,0.00001003436,0.00003581561,0.00001968976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004748079,0.00004771111,0.00009906639,0.0006797762,0.00001181143,0.0001712587,0.00005783867,0.000165227,0.007092381,0.008508137,0.5356126,0.4475067],"study_design_scores_gemma":[0.000002856146,0.0000175436,0.000182133,0.00009752912,0.000003508392,0.0004393126,0.000006924875,0.00003821853,0.0007640274,0.001559645,0.9968842,0.000004118915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001390018,0.2393197,0.00738241,0.003360779,0.006498838,0.0001228531,0.002366553,0.001755477,0.7378033],"genre_scores_gemma":[0.00434093,0.07639501,0.004497269,0.001631147,0.0007852604,0.00005378034,0.001702856,0.0002734383,0.9103203],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1244912,"threshold_uncertainty_score":0.4164646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746348474099509,"score_gpt":0.2486415774969704,"score_spread":0.2111780927559753,"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."}}