{"id":"W4405635286","doi":"10.1101/2024.12.19.629451","title":"MorphoDiff: Cellular Morphology Painting with Diffusion Models","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Vector Institute; University of Toronto; University Health Network","funders":"","keywords":"Morphology (biology); Diffusion; Painting; Computer science; Art; Visual arts; Geology; Physics; Thermodynamics","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":[0.000639482,0.0007852271,0.0006602206,0.0003223207,0.0001332292,0.0002361661,0.0007473842,0.0009580275,0.00003287994],"category_scores_gemma":[0.00008048205,0.0007467183,0.000322741,0.0003664418,0.0002157377,0.000009686213,0.002113657,0.0009703331,0.00004714035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000112819,"about_ca_system_score_gemma":0.0003728418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073321,"about_ca_topic_score_gemma":0.000005920146,"domain_scores_codex":[0.9963785,0.0001798266,0.0005628308,0.001835638,0.0003720438,0.0006711819],"domain_scores_gemma":[0.9967703,0.00001805092,0.0003614579,0.002190181,0.0004298863,0.0002301388],"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":[0.00003971539,0.0001103027,0.000515077,0.0002822596,0.000314829,0.000248924,0.000004499202,0.0003691927,0.9960501,0.0001295648,0.001931844,0.000003665047],"study_design_scores_gemma":[0.0002677866,0.0001290823,0.0003114814,0.0002847833,0.0003684117,1.278402e-7,0.000003451469,0.003777072,0.990872,0.00002455244,0.00299875,0.0009624538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592872,0.003461206,0.03578207,0.0001142826,0.0001843243,0.0005976609,0.00006293198,0.0004235499,0.00008676364],"genre_scores_gemma":[0.9847989,0.0006078816,0.01311421,0.0002922406,0.0005948822,0.0002396583,0.000006467908,0.000283045,0.00006268566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02551172,"threshold_uncertainty_score":0.9994984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235761977549695,"score_gpt":0.2102677109313061,"score_spread":0.2020319489537564,"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."}}