{"id":"W2044848226","doi":"10.1002/cyto.a.20132","title":"Detection and quantification of circulating tumor cells in mouse models of human breast cancer using immunomagnetic enrichment and multiparameter flow cytometry","year":2005,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Flow cytometry; Circulating tumor cell; Breast cancer; Propidium iodide; Cancer; Biology; Antibody; Cancer cell; In vivo; Cancer research; Pathology; Fluorescein isothiocyanate; Molecular biology; Immunology; Medicine; Metastasis; Apoptosis; Fluorescence; Programmed cell death; Biochemistry","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":[0.0008362736,0.0005535349,0.0003826784,0.0008374171,0.0001422112,0.0003739799,0.0004118573,0.000598411,0.001284066],"category_scores_gemma":[0.0004013012,0.0002010093,0.0002351948,0.0003076894,0.0002552258,0.0002885239,0.0002730929,0.0008730973,0.0003757369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495779,"about_ca_system_score_gemma":0.0001716463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003046539,"about_ca_topic_score_gemma":0.0004060684,"domain_scores_codex":[0.999551,0.0001167172,0.00003883532,0.0001245274,0.0001196201,0.00004922357],"domain_scores_gemma":[0.9997229,0.00009396041,0.00006369762,0.00004328244,0.00004118739,0.00003492133],"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":[0.0001103623,0.00005036296,0.0003007248,0.0000404346,0.000006441584,0.0000125368,0.00001093631,0.0001720398,0.9957784,0.0001661723,0.00009918772,0.003252328],"study_design_scores_gemma":[0.00007645598,0.0004387637,0.003184905,0.00001165263,0.00003376065,0.0003036701,0.00000644859,0.006120686,0.9869319,0.0001891384,0.002693782,0.000008821646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297335,0.006792133,0.2576352,0.0004121798,0.000108285,0.0005527232,0.001080899,0.001168296,0.002516609],"genre_scores_gemma":[0.7983025,0.002757969,0.1926117,0.0002661487,0.00005732375,0.0009371555,0.001806683,0.0001211037,0.003139379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001284066,"threshold_uncertainty_score":0.004422665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001392668314906,"score_gpt":0.3045083556834327,"score_spread":0.2644944290002836,"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."}}