{"id":"W3021676133","doi":"","title":"GenePattern flow cytometry suite","year":2013,"lang":"en","type":"article","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; BC Cancer Agency","funders":"","keywords":"Bioconductor; Computer science; Suite; Normalization (sociology); Leverage (statistics); Interface (matter); Data mining; Operating system; Artificial intelligence; Biology","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":[0.00216386,0.001591793,0.001446779,0.003626613,0.001366176,0.002215057,0.003411221,0.001538684,0.06157694],"category_scores_gemma":[0.001782061,0.001123746,0.0008322908,0.002006831,0.0005779783,0.001137393,0.001480557,0.002638471,0.05921894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296547,"about_ca_system_score_gemma":0.001418261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00179231,"about_ca_topic_score_gemma":0.002662838,"domain_scores_codex":[0.9958829,0.0005058016,0.0002722954,0.001069802,0.001906956,0.0003622006],"domain_scores_gemma":[0.9990538,0.0001848621,0.00007727778,0.000213751,0.0003435077,0.0001267898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009301298,0.0002735796,0.001886306,0.001352721,0.0001057204,0.0002412721,0.0001831529,0.002773123,0.3359629,0.01891555,0.4592074,0.1781682],"study_design_scores_gemma":[0.0001424239,0.000132302,0.002260376,0.0001116711,0.00004939214,0.000726423,0.00002128387,0.01380706,0.2178878,0.005354755,0.759397,0.0001094855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01773033,0.005356638,0.6636657,0.002891575,0.001020508,0.002635615,0.1061248,0.1077917,0.09278321],"genre_scores_gemma":[0.05187386,0.004025154,0.6474336,0.004015201,0.0005308642,0.01199041,0.1700667,0.01376495,0.09629935],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06157694,"threshold_uncertainty_score":0.2059954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009349846516492184,"score_gpt":0.2395253281304352,"score_spread":0.2301754816139431,"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."}}