{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041897,0.001493252,0.001130229,0.005497864,0.0005828767,0.001641844,0.001368695,0.001463495,0.02502505],"category_scores_gemma":[0.008106729,0.0005875928,0.0006975888,0.004480138,0.0009656216,0.001490923,0.001402823,0.001539287,0.02026385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001062655,"about_ca_system_score_gemma":0.001009158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008213788,"about_ca_topic_score_gemma":0.0009876615,"domain_scores_codex":[0.9955046,0.001141444,0.000366158,0.0008589092,0.001960492,0.0001684917],"domain_scores_gemma":[0.995883,0.0009799884,0.0005201128,0.0006971255,0.001757955,0.0001618585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000730203,0.0002027093,0.02070359,0.001418495,0.0001198377,0.0002985072,0.0002250082,0.003571058,0.08255742,0.02428043,0.04069859,0.8251941],"study_design_scores_gemma":[0.0001484493,0.00104631,0.08425637,0.001200532,0.0003573346,0.006662901,0.0003397749,0.04835664,0.1363062,0.03952215,0.6814888,0.000314647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02092034,0.01948088,0.88196,0.001797726,0.001961556,0.001078047,0.007793392,0.01079599,0.05421206],"genre_scores_gemma":[0.1188256,0.007382767,0.8243861,0.001272517,0.0009664717,0.001561332,0.008555339,0.001252907,0.03579699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02502505,"threshold_uncertainty_score":0.08371711,"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."}}