{"id":"W2594877600","doi":"10.1158/1538-7755.disp16-b48","title":"Abstract B48: Cancer Stem Cells: characteristics, roles in metastatic disease and targeting therapy for the medically underserved","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Hospital for Sick Children","funders":"","keywords":"Cancer stem cell; Cancer; Metastasis; Medicine; Cancer research; Disease; Stem cell; Cancer therapy; Carcinogenesis; Oncology; Bioinformatics; Internal medicine; Biology; 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":[0.0005847243,0.0004189217,0.0006214752,0.001211342,0.000459438,0.00173675,0.0004352823,0.001033931,0.0236037],"category_scores_gemma":[0.0007033977,0.0001618511,0.0004682966,0.001308909,0.0004816125,0.001230297,0.0006002088,0.001378703,0.007431665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006558138,"about_ca_system_score_gemma":0.0009939204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338245,"about_ca_topic_score_gemma":0.001674779,"domain_scores_codex":[0.9997435,0.00005041986,0.00002629925,0.00003863738,0.0001154595,0.00002557436],"domain_scores_gemma":[0.9996524,0.00007197526,0.00005055069,0.00001075349,0.0001513848,0.00006300436],"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":[0.0005153875,0.0001037293,0.001679523,0.01093909,0.00007112005,0.00127592,0.0004987784,0.0003686339,0.06321409,0.02944498,0.3239914,0.5678974],"study_design_scores_gemma":[0.00002442903,0.0002455146,0.003280656,0.0009248676,0.00004578562,0.001902935,0.0002866758,0.0001171027,0.0112165,0.004174784,0.9777535,0.00002725139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01560811,0.8314197,0.00723068,0.0354775,0.02778124,0.0002269172,0.002336686,0.000331717,0.07958756],"genre_scores_gemma":[0.06111875,0.7432219,0.004862647,0.008948596,0.009355752,0.0001579294,0.002316453,0.0001477063,0.1698702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0236037,"threshold_uncertainty_score":0.07896227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1204456083925373,"score_gpt":0.3989416801372407,"score_spread":0.2784960717447035,"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."}}