{"id":"W4404404914","doi":"10.1101/2024.11.15.623768","title":"Dynamically arrested condensate fusion creates complex structures with varying material properties","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Wellcome Trust","keywords":"Fusion; Materials science; Computer science; Philosophy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001033983,0.0006581421,0.000560229,0.0001902762,0.0002470087,0.0009787725,0.0003739505,0.0002277558,0.001155842],"category_scores_gemma":[0.00002285778,0.0005173195,0.0001385367,0.0002148113,0.0001538127,0.0001230861,0.0006342313,0.0007867402,0.0002240366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235354,"about_ca_system_score_gemma":0.0004008457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006672436,"about_ca_topic_score_gemma":0.000005416996,"domain_scores_codex":[0.997769,0.00007842949,0.0004925873,0.0008565229,0.0003127761,0.0004906955],"domain_scores_gemma":[0.9982882,0.00007038433,0.000293621,0.0007350838,0.0004095829,0.0002031877],"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":[0.0002294707,0.0002081961,0.004298871,0.0008211345,0.0006478596,0.00008907465,0.0000256002,0.002385958,0.9862306,0.004448898,0.000609648,0.000004687541],"study_design_scores_gemma":[0.0008690489,0.0001798417,0.01904444,0.002856215,0.0007727588,9.811163e-8,0.0000238994,0.009199571,0.9625033,0.0001828491,0.002420961,0.001947041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950541,0.00003967711,0.0004841697,0.0001382036,0.001752732,0.0006561222,0.001361508,0.0003695854,0.0001438657],"genre_scores_gemma":[0.9959449,0.000009128471,0.002797388,0.00004589682,0.0008199346,0.0001882799,0.000008806811,0.0001590021,0.00002671228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02372732,"threshold_uncertainty_score":0.9997572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441986021676471,"score_gpt":0.2181507465359048,"score_spread":0.2037308863191401,"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."}}