{"id":"W2521799458","doi":"10.3390/ijms17091580","title":"Clinical Application of Circulating Tumour Cells in Prostate Cancer: From Bench to Bedside and Back","year":2016,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Prostate cancer; Circulating tumor cell; Medicine; Biomarker; Bench to bedside; Cancer; Metastasis; Oncology; Management of prostate cancer; Internal medicine; Biomarker discovery; Surrogate endpoint; Disease; Clinical trial; Prostate; Medical physics; Biology; Proteomics","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":[0.00183135,0.0007394024,0.001809545,0.002499615,0.0002770913,0.001707481,0.001033989,0.001635492,0.002666105],"category_scores_gemma":[0.002620476,0.0003449783,0.0007215738,0.001882672,0.0008797618,0.001881452,0.0009584498,0.002217354,0.00182713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007495707,"about_ca_system_score_gemma":0.00144493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033814,"about_ca_topic_score_gemma":0.001548123,"domain_scores_codex":[0.999305,0.0001636529,0.0001030183,0.00009617968,0.0002912685,0.00004090007],"domain_scores_gemma":[0.9984726,0.0008904186,0.0001327352,0.00003569512,0.0004053466,0.00006320246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000070639,0.00004583506,0.0004079418,0.01494156,0.00007310673,0.0002102084,0.00008277144,0.0002882254,0.001279004,0.003762975,0.01762411,0.9612138],"study_design_scores_gemma":[0.00002069489,0.0001867653,0.001682161,0.0080917,0.0001341153,0.002142785,0.0001491286,0.0002199437,0.001092498,0.003588416,0.9826524,0.00003932695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007428609,0.9986892,0.0001099587,0.0004762532,0.0001795449,0.000003531915,0.00000875878,0.000003816777,0.0004546265],"genre_scores_gemma":[0.0007737083,0.9981969,0.0002102777,0.0002860579,0.0002149125,0.000005631516,0.00001609446,0.000001468962,0.0002950679],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002666105,"threshold_uncertainty_score":0.009685218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941893292490521,"score_gpt":0.4222485204013169,"score_spread":0.3728295874764117,"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."}}