{"id":"W3006268927","doi":"10.15252/msb.20199243","title":"Systematic genetics and single‐cell imaging reveal widespread morphological pleiotropy and cell‐to‐cell variability","year":2020,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"FP7 Ideas: European Research Council; National Human Genome Research Institute; Canadian Institutes of Health Research; European Commission; National Cancer Institute; National Institutes of Health; Ministerio de Economía y Competitividad; Government of Canada; Ontario Institute for Cancer Research; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Biology; Phenotype; Pleiotropy; Genetics; Endocytic cycle; Penetrance; Single-cell analysis; Cell; Organelle; Mutant; Gene; Endosome; Cell biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006248915,0.0004040379,0.0007321173,0.00008041917,0.00008630934,0.00009773012,0.000348481,0.0003332889,0.000004854707],"category_scores_gemma":[0.0003393216,0.0003635898,0.0001362224,0.0001772378,0.0002032882,0.000005291191,0.0005750112,0.0001834231,0.00001348809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971323,"about_ca_system_score_gemma":0.00003525736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005146025,"about_ca_topic_score_gemma":0.000001873416,"domain_scores_codex":[0.9966635,0.0009005213,0.0006953388,0.001142479,0.0001379229,0.0004602742],"domain_scores_gemma":[0.9984672,0.00007619115,0.0002582842,0.0007091627,0.000145553,0.0003436202],"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":[0.00003123614,0.00007197446,0.0040403,0.002054061,0.00004416467,0.00007253067,0.00006203301,0.00002610385,0.99275,0.00002156218,0.0007614797,0.000064575],"study_design_scores_gemma":[0.0005526642,0.0008437618,0.0001254747,0.000129959,0.000216707,0.0001473251,0.0001221095,0.001682792,0.9938802,0.00004786393,0.001677831,0.0005733516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8733067,0.01094616,0.1129601,0.0002580941,0.00006597037,0.001161611,0.00002009194,0.00007802613,0.001203253],"genre_scores_gemma":[0.9940441,0.0001507274,0.004166195,0.001204634,0.0001091529,0.0000963108,0.00007682835,0.00004990775,0.000102199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1207374,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007575116210705145,"score_gpt":0.2298273539916899,"score_spread":0.2222522377809847,"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."}}