{"id":"W2107554012","doi":"10.1186/gb-2006-7-10-r100","title":"CellProfiler: image analysis software for identifying and quantifying cell phenotypes","year":2006,"lang":"en","type":"article","venue":"Genome biology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5483,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; National Institutes of Health; Damon Runyon Cancer Research Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; W. M. Keck Foundation; Life Sciences Research Foundation; U.S. Department of Defense","keywords":"Biology; Human genetics; Computational biology; Phenotype; Evolutionary biology; Genome Biology; Software; Genetics; Bioinformatics; Genomics; Genome; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002749942,0.001973127,0.002022649,0.005114533,0.00104641,0.001788526,0.003450227,0.001487478,0.02825653],"category_scores_gemma":[0.001818018,0.001617276,0.001297454,0.001964527,0.0005199222,0.001842306,0.001642288,0.003760605,0.02551581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006722311,"about_ca_system_score_gemma":0.0009708335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024783,"about_ca_topic_score_gemma":0.002311574,"domain_scores_codex":[0.998513,0.0001866943,0.0001489721,0.0002632556,0.0007469453,0.0001410919],"domain_scores_gemma":[0.9985844,0.0004409733,0.0001607623,0.0002330458,0.0004229467,0.0001579371],"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":[0.0009870096,0.0002129896,0.002257348,0.002079158,0.0002566329,0.0002854226,0.0003163869,0.0009660069,0.6211104,0.004044563,0.2093734,0.1581108],"study_design_scores_gemma":[0.0002570318,0.0002676803,0.01172801,0.0001930879,0.0002159115,0.002658903,0.00008597904,0.03311116,0.7103152,0.003286051,0.2375323,0.0003487515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01226871,0.001775029,0.7693905,0.0003884966,0.0003892827,0.000807304,0.03573776,0.1698371,0.009405853],"genre_scores_gemma":[0.02892224,0.001736507,0.8542297,0.0006602054,0.0001456705,0.003443076,0.06559499,0.02670402,0.01856352],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02825653,"threshold_uncertainty_score":0.09452754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565332625766161,"score_gpt":0.2884689107115518,"score_spread":0.2728155844538902,"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."}}