{"id":"W3195365965","doi":"10.30683/1929-2279.2020.09.05","title":"Diagnostic and Prognostic DNA-Karyometry for Cancer Diagnostics","year":2021,"lang":"en","type":"article","venue":"Journal of cancer research updates","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Feulgen stain; Malignancy; Grading (engineering); Pathology; Nuclear DNA; Cancer; Aneuploidy; Staining; Biology; Stain; DNA; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007332105,0.0001686345,0.0003011737,0.0001589842,0.000167204,0.0001444917,0.0002664656,0.0001359436,0.00007733249],"category_scores_gemma":[0.008547282,0.000153826,0.0001286991,0.000292754,0.0002486804,0.00001376834,0.0002393761,0.0002897287,0.000001729093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008458395,"about_ca_system_score_gemma":0.001299062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006651812,"about_ca_topic_score_gemma":0.000522193,"domain_scores_codex":[0.9982471,0.0001058982,0.0004240451,0.0003158028,0.000416396,0.0004907518],"domain_scores_gemma":[0.9959217,0.001495181,0.0001927942,0.0002459571,0.001862593,0.0002817523],"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":[0.0008629428,0.0006001206,0.345542,0.0006832554,0.001080254,0.0003216897,0.0002326105,0.0007266498,0.3694038,0.001422926,0.2183936,0.06073019],"study_design_scores_gemma":[0.002269336,0.001251266,0.03825211,0.0004519818,0.0002098855,0.0001245771,0.0003211409,0.00006287578,0.4336841,0.002700813,0.5202683,0.0004037347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548824,0.1394423,0.0003796775,0.003984419,0.0006198338,0.0003179831,0.0003011404,0.000003218239,0.00006903866],"genre_scores_gemma":[0.8028926,0.1932146,0.0009473445,0.0004528603,0.001961424,0.0001650937,0.00004680498,0.00004694876,0.000272402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3072899,"threshold_uncertainty_score":0.9998041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03386976911083681,"score_gpt":0.3867810985207601,"score_spread":0.3529113294099233,"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."}}