{"id":"W4360951525","doi":"10.1101/2023.03.23.534023","title":"JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada)","funders":"","keywords":"Upload; Profiling (computer programming); Painting; Computer science; Computational biology; Biology; Database; World Wide Web; Art; Visual arts; Operating system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003671732,0.0004490039,0.0005034476,0.0001809428,0.00006917134,0.00008800715,0.000523309,0.0006445485,0.00003881806],"category_scores_gemma":[0.0003740604,0.0004392865,0.0002726206,0.0002571741,0.0002258199,0.00000684037,0.001209972,0.0004178083,0.00001117854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006288529,"about_ca_system_score_gemma":0.0002124282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283754,"about_ca_topic_score_gemma":0.000001276971,"domain_scores_codex":[0.997678,0.000123688,0.0005336828,0.001052094,0.0002115351,0.0004009309],"domain_scores_gemma":[0.9977027,0.00004417744,0.0003778872,0.00141653,0.0002668665,0.0001918803],"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":[0.00001510475,0.0001023961,0.01093745,0.0001323599,0.0001664675,0.00004186631,0.000001788174,0.00003755305,0.9834585,0.000001864403,0.00510197,0.000002752161],"study_design_scores_gemma":[0.0002067671,0.0000979453,0.05200295,0.0000649357,0.0001818166,1.093044e-7,0.000001515765,0.0003966007,0.9456847,0.000001884537,0.0008705013,0.0004903175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958602,0.0008884266,0.001666999,0.00003130361,0.00004180315,0.0003378323,0.001054253,0.0001131614,0.000006053523],"genre_scores_gemma":[0.9897582,0.0008937431,0.008809823,0.00006452401,0.0002322885,0.00008402905,0.00004950021,0.00009909768,0.000008780992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106551,"threshold_uncertainty_score":0.9998059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356820234569218,"score_gpt":0.2526914450220081,"score_spread":0.239123242676316,"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."}}