{"id":"W2897889083","doi":"10.1007/978-1-4939-8805-1_6","title":"Flow Cytometric Analysis of Brain Tumor Stem Cells","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"","keywords":"Flow cytometry; Cancer stem cell; Stem cell; Computational biology; Population; Biology; Cell biology; Molecular biology; Medicine","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":[0.00028226,0.0002797566,0.000268405,0.00118165,0.0005309886,0.0005563823,0.000290606,0.0004424302,0.004126349],"category_scores_gemma":[0.0001874428,0.0001045516,0.0002147992,0.0008422904,0.0001990151,0.0003433615,0.0001854252,0.000906865,0.001026011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224553,"about_ca_system_score_gemma":0.0003412575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009982531,"about_ca_topic_score_gemma":0.001266946,"domain_scores_codex":[0.999772,0.00002533884,0.00001763757,0.0000531742,0.00007409422,0.00005771994],"domain_scores_gemma":[0.9998558,0.00004418616,0.00001443408,0.00001301957,0.00005484831,0.0000177407],"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":[0.0001314154,0.00007716678,0.0004899853,0.00005505313,0.000009250617,0.00002689303,0.00006641974,0.0001033032,0.9888203,0.001754184,0.0002877182,0.008178429],"study_design_scores_gemma":[0.00002182696,0.00009443568,0.003812695,0.00000986156,0.00002179424,0.00009850267,0.00006621133,0.003633511,0.986501,0.0007849716,0.004948725,0.000006444318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8324218,0.00400525,0.1295073,0.00100794,0.0003037566,0.0004587454,0.00562023,0.00104358,0.02563137],"genre_scores_gemma":[0.8827884,0.003021146,0.09260008,0.0004422069,0.0001405733,0.0009520347,0.003782387,0.0001628503,0.01611037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004126349,"threshold_uncertainty_score":0.01380396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365578012285116,"score_gpt":0.4184044518381552,"score_spread":0.384748671715304,"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."}}