{"id":"W1494588570","doi":"10.1002/cncy.21194","title":"Is molecular diagnostics ready for its cancer close‐up?","year":2012,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer; Molecular diagnostics; Medical physics; Bioinformatics; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000184623,0.0002759152,0.0002969932,0.00005246528,0.0001039264,0.00002060773,0.000263832,0.0003152002,0.0001193726],"category_scores_gemma":[0.0002756541,0.0002912184,0.0001477035,0.00008890684,0.0001044109,0.00000729748,0.0001567222,0.0001199072,0.00002926974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008372293,"about_ca_system_score_gemma":0.0002447591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005158525,"about_ca_topic_score_gemma":0.00007218868,"domain_scores_codex":[0.9983446,0.000042656,0.0002843633,0.0004931634,0.000106357,0.00072885],"domain_scores_gemma":[0.9988441,0.00006494457,0.0001428909,0.0004787741,0.0002443944,0.0002248942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003021442,0.0001809059,0.0559249,0.0001336741,0.0001606492,0.00001678915,0.0004595722,0.0001395699,0.806913,0.006751186,0.1166666,0.01235105],"study_design_scores_gemma":[0.0009006971,0.0002128117,0.003248498,0.00001768089,0.0001254175,0.00002590339,0.00003071037,0.00002413092,0.4686338,0.0002328555,0.5261519,0.0003956462],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053524,0.0807001,0.004664907,0.001285644,0.004364657,0.00071846,0.002011873,0.00002979367,0.0008721838],"genre_scores_gemma":[0.9684747,0.01784422,0.0006406404,0.00788367,0.0025094,0.001160033,0.0002513852,0.00009273118,0.001143231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4094853,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183993969463687,"score_gpt":0.33229752829512,"score_spread":0.3004575886004832,"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."}}