{"id":"W2030011410","doi":"10.1371/journal.pone.0090540","title":"Exploiting Cell-To-Cell Variability To Detect Cellular Perturbations","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"The Wellcome Trust DBT India Alliance; Department of Biotechnology, Ministry of Science and Technology, India; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Cell; Biology; Population; Phenotype; Cell type; Endocytic cycle; Computational biology; Biological system; Cell biology; Genetics; Gene; Endocytosis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007365615,0.0003463561,0.0006729856,0.001283777,0.0003605846,0.000876527,0.000534832,0.0006251399,0.0008583046],"category_scores_gemma":[0.002110184,0.0002966996,0.0003244324,0.0007390086,0.0006028765,0.0005828956,0.0008173154,0.001288695,0.0003314909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006003858,"about_ca_system_score_gemma":0.0003242815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006221205,"about_ca_topic_score_gemma":0.000885929,"domain_scores_codex":[0.9993605,0.00007791403,0.00004504624,0.0002363676,0.0002295329,0.00005061122],"domain_scores_gemma":[0.997445,0.001332406,0.0003869638,0.0004476555,0.0002498055,0.0001381712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001094522,0.00003541512,0.0056821,0.00006604777,0.00004488438,0.00009920242,0.0001161117,0.001216289,0.9765663,0.000588026,0.0001019343,0.01537413],"study_design_scores_gemma":[0.0000151456,0.0001513833,0.06555294,0.00001222311,0.00006894787,0.0007855864,0.0001235819,0.05145185,0.8776518,0.002097338,0.002022303,0.00006698658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6032816,0.0005460454,0.3920172,0.0001283164,0.00005191434,0.0000760582,0.0007997667,0.001319209,0.001779821],"genre_scores_gemma":[0.929548,0.0003193747,0.06832526,0.0001394057,0.00003103216,0.0001789336,0.0005906295,0.0002625124,0.0006048738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283777,"threshold_uncertainty_score":0.004356086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381602861311866,"score_gpt":0.2174566568131795,"score_spread":0.2036406282000609,"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."}}