{"id":"W2298009661","doi":"10.1016/bs.acc.2015.10.001","title":"Cancer Stem Cell Biomarker Discovery Using Antibody Array Technology","year":2016,"lang":"en","type":"review","venue":"Advances in clinical chemistry","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children; China Scholarship Council","keywords":"Cancer stem cell; Autocrine signalling; Cancer; Paracrine signalling; Carcinogenesis; Cancer cell; Biology; Tumor microenvironment; Stem cell; Cancer research; Metastasis; Cell signaling; Cell biology; Signal transduction; Cell culture; Genetics; Receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008690623,0.001156597,0.001210723,0.001838728,0.0001732375,0.0009782796,0.0008331942,0.0009048911,0.001972443],"category_scores_gemma":[0.0009589777,0.0004090569,0.000519927,0.001485661,0.0004723141,0.00108757,0.0007246808,0.001682029,0.001712551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005097774,"about_ca_system_score_gemma":0.0008244656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593585,"about_ca_topic_score_gemma":0.001356939,"domain_scores_codex":[0.9997119,0.00003950602,0.00002609481,0.00005239496,0.0001362762,0.00003385981],"domain_scores_gemma":[0.9996319,0.000160644,0.00005117953,0.00001154906,0.0001178003,0.00002697748],"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":[0.00008188849,0.00008106139,0.0003266375,0.007777983,0.0001002042,0.0001370285,0.00002585898,0.0003617584,0.008248555,0.003530378,0.02060271,0.958726],"study_design_scores_gemma":[0.00003559728,0.000167559,0.0008230095,0.001419527,0.0002232658,0.0009621725,0.00004315626,0.0005142555,0.009688936,0.003344436,0.9827396,0.00003856972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003282644,0.9952908,0.001564031,0.0004903685,0.0004187056,0.00001373217,0.00003570878,0.0000268528,0.001831588],"genre_scores_gemma":[0.002171525,0.99368,0.001308954,0.0005131073,0.0003142556,0.00001799808,0.00006747695,0.000003970343,0.001922662],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001972443,"threshold_uncertainty_score":0.006598473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09602485715403507,"score_gpt":0.4965096596623753,"score_spread":0.4004848025083402,"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."}}