{"id":"W1966875089","doi":"10.1016/j.ymeth.2012.03.027","title":"Emerging applications of flow cytometry in solid tumor biology","year":2012,"lang":"en","type":"review","venue":"Methods","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Flow cytometry; Computational biology; Mass cytometry; Biology; Cytometry; Computer science; Immunology; Biochemistry; Phenotype","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":[0.002439073,0.001528328,0.001962814,0.002810523,0.0004241,0.001590316,0.002206393,0.002162239,0.003501253],"category_scores_gemma":[0.001763091,0.0005904259,0.0006161412,0.003111622,0.001698091,0.00280104,0.001261431,0.003293465,0.002833137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271712,"about_ca_system_score_gemma":0.001351484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183764,"about_ca_topic_score_gemma":0.001765643,"domain_scores_codex":[0.9995086,0.00007822594,0.00003755957,0.0001035015,0.0002279895,0.00004419306],"domain_scores_gemma":[0.9986328,0.0008007849,0.00009046638,0.00004950176,0.000329814,0.00009657817],"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":[0.00007808928,0.00009419787,0.0002281549,0.008875213,0.00005898656,0.0001729426,0.00005815286,0.0006653243,0.01153384,0.0136616,0.03161002,0.9329635],"study_design_scores_gemma":[0.00002321844,0.00007721169,0.0006380306,0.001450696,0.00008088722,0.001087674,0.0000621583,0.0006064127,0.004712902,0.008987251,0.9822224,0.00005113344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001517804,0.9931149,0.004131783,0.0005799345,0.0005765731,0.00001024335,0.00002917639,0.000031541,0.00137401],"genre_scores_gemma":[0.00110764,0.9924198,0.003684486,0.0006303127,0.0006087729,0.00002423726,0.00005873463,0.00000934524,0.001456688],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003501253,"threshold_uncertainty_score":0.01289916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06908000390501602,"score_gpt":0.4426447101011449,"score_spread":0.3735647061961289,"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."}}