{"id":"W3171849948","doi":"10.1016/j.cels.2021.05.010","title":"Single-cell image analysis to explore cell-to-cell heterogeneity in isogenic populations","year":2021,"lang":"en","type":"review","venue":"Cell Systems","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"National Human Genome Research Institute; National Institutes of Health; Canada Foundation for Innovation; Ontario Research Foundation; Canadian Institutes of Health Research; Genome Canada; Canadian Institute for Advanced Research","keywords":"Multicellular organism; Phenotype; Cell; Biology; Single-cell analysis; Computational biology; Cell type; Cell function; Cell biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005625839,0.0009153138,0.002715475,0.001087534,0.0001108153,0.0002686576,0.0009763504,0.0007764568,0.00005187896],"category_scores_gemma":[0.00005126337,0.0009343254,0.002172731,0.002650183,0.00003733238,0.00001046953,0.0006719352,0.0003568391,0.0002564786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697355,"about_ca_system_score_gemma":0.000214092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003498044,"about_ca_topic_score_gemma":0.0003466716,"domain_scores_codex":[0.9946111,0.0007530554,0.00164084,0.001854283,0.0004059289,0.0007347221],"domain_scores_gemma":[0.9960865,0.00003993024,0.0006583873,0.002522128,0.0002737912,0.0004192998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000351007,0.004278108,0.0009044973,0.03535829,0.003016878,0.000557001,0.0005523464,0.002087227,0.8374558,0.000003036829,0.07564576,0.04010592],"study_design_scores_gemma":[0.0001953819,0.0001499198,0.000002863449,0.0007299802,0.004003364,0.00001056683,0.0001555911,0.00004362399,0.1026663,4.514981e-7,0.8908872,0.001154785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00671229,0.9799988,0.006818073,0.000006014046,0.000163768,0.001734486,0.00008420629,0.00006402742,0.004418319],"genre_scores_gemma":[0.03011601,0.9499767,0.003003168,0.00010162,0.0004912101,0.0009596366,0.005505318,0.0002914566,0.009554863],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8152415,"threshold_uncertainty_score":0.9993107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06876153579681442,"score_gpt":0.3428890771886535,"score_spread":0.2741275413918391,"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."}}