{"id":"W4307210663","doi":"10.32920/21290940.v1","title":"Effect of chromatin structure on quantitative ultrasound parameters","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Terry Fox Foundation","keywords":"Chromatin; Ultrasound; Biophysics; Ex vivo; DNA; In vivo; Chemistry; Biology; Cell biology; Biochemistry; Physics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197691,0.0003107189,0.0001693085,0.0002935603,0.0000925191,0.0003846676,0.0001979989,0.0002872999,0.00128757],"category_scores_gemma":[0.0009694618,0.0001950297,0.0001493748,0.0002695002,0.0004101152,0.0003531888,0.000177131,0.0003091859,0.0002232609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002473361,"about_ca_system_score_gemma":0.000116988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074104,"about_ca_topic_score_gemma":0.0005705764,"domain_scores_codex":[0.9996524,0.0001174441,0.00002391736,0.00007218169,0.000108182,0.00002580451],"domain_scores_gemma":[0.9991869,0.0004526565,0.0001600374,0.00007745306,0.00009237715,0.0000304215],"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":[0.00005847938,0.000009368871,0.000567505,0.00002615447,0.000004205824,0.00001645009,0.00002815693,0.0004284895,0.9969447,0.00004357285,0.000007840806,0.00186516],"study_design_scores_gemma":[0.000002722423,0.0001422448,0.006472295,0.000002524603,0.000006539136,0.00005337823,0.00002874313,0.001903624,0.9910704,0.00004885879,0.0002632118,0.000005506704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779506,0.0008936757,0.01951209,0.00005315098,0.00001131449,0.0000261895,0.0002747447,0.0000926168,0.001185675],"genre_scores_gemma":[0.9941093,0.0003803829,0.004255028,0.00002308992,0.000003523821,0.0000234492,0.0002683275,0.00003050484,0.0009063092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128757,"threshold_uncertainty_score":0.004307389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009993521022002827,"score_gpt":0.2590758777558411,"score_spread":0.2490823567338382,"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."}}