{"id":"W3174338326","doi":"10.1371/journal.pone.0253439","title":"An image-based flow cytometric approach to the assessment of the nucleus-to-cytoplasm ratio","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Research Institute; Terry Fox Foundation","keywords":"Nucleus; Cytoplasm; Cancer cell; Flow cytometry; Cell culture; Pathology; Cell; Breast cancer; Malignancy; Stain; Staining; Molecular biology; Chemistry; Cancer; Biology; Medicine; Cell biology; Internal medicine; Biochemistry; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003237458,0.001478461,0.001285544,0.006198797,0.001113096,0.001934971,0.001657673,0.00167901,0.00492912],"category_scores_gemma":[0.001992357,0.0007493654,0.0008153104,0.003029126,0.001158701,0.00161475,0.001047489,0.002578463,0.002019617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393638,"about_ca_system_score_gemma":0.0007178858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010312,"about_ca_topic_score_gemma":0.001814926,"domain_scores_codex":[0.9971035,0.00057053,0.0002722407,0.0008686781,0.0009886877,0.0001963704],"domain_scores_gemma":[0.9985912,0.0004610218,0.0002346039,0.0001578595,0.0004759357,0.00007925992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002195942,0.0001351176,0.001390705,0.0006312366,0.00005878223,0.00009072958,0.0001972174,0.0004265437,0.9703316,0.001852175,0.0008320325,0.02383429],"study_design_scores_gemma":[0.00005207693,0.0005642817,0.0150485,0.0001169184,0.0001918613,0.001282371,0.0002193667,0.02323065,0.937951,0.00197123,0.01923558,0.0001361193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1300737,0.006872129,0.8413817,0.0005164545,0.0005439722,0.001287508,0.003268144,0.004118873,0.01193744],"genre_scores_gemma":[0.1656562,0.004818232,0.8148549,0.0006082081,0.0003254862,0.003316665,0.002376403,0.0005342728,0.00750953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006198797,"threshold_uncertainty_score":0.01712149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151883578980018,"score_gpt":0.2897045648012014,"score_spread":0.2381857290114012,"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."}}