{"id":"W3087124925","doi":"10.1534/g3.120.401570","title":"TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects","year":2020,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"High-content screening; Computer science; Visualization; Budding yeast; Feature (linguistics); Genome; Information retrieval; Saccharomyces cerevisiae; Computational biology; Data mining; Biology; Cell; Yeast","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":[0.0001782498,0.0003021656,0.0002788006,0.00007558749,0.0001466684,0.00008350929,0.0003039122,0.00009191712,0.00001050624],"category_scores_gemma":[0.00002236882,0.0002999444,0.0001357486,0.0001385806,0.00008256506,0.00000810872,0.0004968494,0.00006893108,0.000004546528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001350367,"about_ca_system_score_gemma":0.00007512933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001631554,"about_ca_topic_score_gemma":0.00001095913,"domain_scores_codex":[0.9982532,0.00005735719,0.0003567266,0.0007726827,0.0001609254,0.0003991267],"domain_scores_gemma":[0.9989629,0.00002675138,0.0001645005,0.0004966029,0.0001604475,0.0001887825],"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":[0.00004546116,0.00003246097,0.008358904,0.0001007413,0.00005057531,0.000006104539,0.000240041,0.0000365203,0.8517249,0.000004057356,0.001251947,0.1381483],"study_design_scores_gemma":[0.0006087641,0.0002796203,0.0001117963,0.00001195736,0.0001304132,0.000007494338,0.000978644,0.002904226,0.8525,0.000008995466,0.1420702,0.0003879761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6467147,0.326104,0.0258453,0.0002679747,0.00004639044,0.0007210411,0.00004839417,0.00006442861,0.0001876767],"genre_scores_gemma":[0.8785322,0.06184873,0.05651299,0.001636148,0.0005404082,0.00009524573,0.0004762899,0.0001027133,0.0002552554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2642553,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123005328445145,"score_gpt":0.2904769287856115,"score_spread":0.24924687550116,"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."}}