{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02883347,0.001819041,0.00240803,0.003248547,0.004124017,0.01271176,0.00279913,0.01540058,0.02392101],"category_scores_gemma":[0.0513567,0.001152555,0.001544066,0.00209453,0.01068937,0.02346214,0.005915826,0.0326343,0.01536652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005403157,"about_ca_system_score_gemma":0.008951989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358844,"about_ca_topic_score_gemma":0.003853531,"domain_scores_codex":[0.9848102,0.004671516,0.001185174,0.001471252,0.006321587,0.001540412],"domain_scores_gemma":[0.9565666,0.01918455,0.001927217,0.002560848,0.01214953,0.007611249],"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":[0.0001849245,0.00009872928,0.0004987933,0.0008360986,0.00005373637,0.0002122418,0.0002686849,0.0001057176,0.0007079391,0.03334491,0.8416512,0.122037],"study_design_scores_gemma":[0.0000241155,0.0001208524,0.00030127,0.00072365,0.00002447742,0.0002891128,0.0004255516,0.00009326833,0.0001825882,0.02228235,0.975493,0.00003978416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002940463,0.1045652,0.00285966,0.8337244,0.05090645,0.00002652061,0.0001688664,0.0003161258,0.007138662],"genre_scores_gemma":[0.01346965,0.1886798,0.009747342,0.6754837,0.09111097,0.0001310321,0.0006903801,0.0004453258,0.02024187],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02883347,"threshold_uncertainty_score":0.1524878,"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."}}