{"id":"W4382134319","doi":"10.1186/s12967-023-04242-z","title":"Novel method for highly multiplexed gene expression profiling of circulating tumor cells (CTCs) captured from the blood of women with metastatic breast cancer","year":2023,"lang":"en","type":"article","venue":"Journal of Translational Medicine","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aptose Biosciences (Canada)","funders":"ANGLE; Cleveland Clinic","keywords":"Circulating tumor cell; Breast cancer; Metastatic breast cancer; Gene expression profiling; Profiling (computer programming); Medicine; Gene expression; Cancer research; Oncology; Gene; Cancer; Internal medicine; Metastasis; Biology; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006489933,0.0006322625,0.0005454607,0.00120397,0.0002703477,0.0006796282,0.0005643804,0.0009593223,0.001159287],"category_scores_gemma":[0.0007419894,0.0003333859,0.0003077231,0.0005461336,0.000262543,0.0002721512,0.0004347944,0.0008805564,0.0007948122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003470476,"about_ca_system_score_gemma":0.0003452302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000343175,"about_ca_topic_score_gemma":0.0008079431,"domain_scores_codex":[0.9986851,0.0002030501,0.00005335846,0.0004954657,0.0004838053,0.0000792546],"domain_scores_gemma":[0.9996159,0.0001376593,0.00006909834,0.00003176428,0.0001075129,0.00003808549],"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":[0.00005687977,0.00004859379,0.001133552,0.00006783218,0.00001586582,0.00004955558,0.00003795451,0.0001342579,0.9869884,0.0001030898,0.0002933433,0.01107072],"study_design_scores_gemma":[0.00003005833,0.0003503736,0.009050958,0.00002260912,0.00005814341,0.0007662267,0.00004777313,0.01285351,0.9723958,0.0001883011,0.004191933,0.00004424786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2822909,0.003062147,0.7030669,0.0005476844,0.0003844698,0.0008000355,0.003324418,0.002308308,0.004215119],"genre_scores_gemma":[0.4299849,0.001385699,0.5562331,0.0009336028,0.0001622419,0.001725901,0.002442155,0.0001312324,0.007001173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00120397,"threshold_uncertainty_score":0.003878176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042825586811782,"score_gpt":0.319935682316849,"score_spread":0.2795074264487312,"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."}}