{"id":"W3097641122","doi":"10.1158/1538-7445.tumhet2020-po-065","title":"Abstract PO-065: Utilization of optimized extracellular matrix substratum for inclusive capture of circulating tumor cells in stage IV colorectal cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Trillium Health Centre; University of Waterloo","funders":"","keywords":"Circulating tumor cell; Metastasis; Colorectal cancer; Extracellular matrix; Population; Cancer research; Fibronectin; Cancer; Cancer cell; Cell; Cancer stem cell; Epithelial–mesenchymal transition; Mesenchymal stem cell; Biology; Stem cell; Medicine; Cell biology; Internal medicine; 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":[0.0001824825,0.0001798537,0.0001587511,0.000161531,0.00009751238,0.000248868,0.0002123353,0.000273634,0.0009481433],"category_scores_gemma":[0.0002174996,0.00007890505,0.0001255363,0.0001357043,0.00008521443,0.00009523421,0.0001875981,0.0001856478,0.0003461046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358716,"about_ca_system_score_gemma":0.0001290622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009108498,"about_ca_topic_score_gemma":0.00138568,"domain_scores_codex":[0.9998679,0.00002411649,0.00001050822,0.00003092805,0.00004267693,0.00002386987],"domain_scores_gemma":[0.999928,0.00001808679,0.00001175513,0.000007652099,0.00001710929,0.00001725846],"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":[0.00004327515,0.00001668154,0.0003294485,0.00003361364,0.00000243295,0.00003282212,0.000009138823,0.000147206,0.9974101,0.00001474565,0.00005525077,0.001905319],"study_design_scores_gemma":[0.000009226096,0.0003685717,0.008224479,0.000007425872,0.00001237409,0.0002486621,0.00002460273,0.00458997,0.9845517,0.00001455551,0.00194198,0.000006458069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871227,0.0008111594,0.009937068,0.00007180312,0.00002977776,0.00005818399,0.0003402639,0.00007845372,0.001550587],"genre_scores_gemma":[0.9783667,0.0003006881,0.01793255,0.00007636417,0.000008522838,0.00004646303,0.0009126256,0.00002074079,0.002335391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009481433,"threshold_uncertainty_score":0.003171802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030910819689352,"score_gpt":0.4194274190461048,"score_spread":0.3163363370771696,"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."}}