{"id":"W3194320770","doi":"10.1016/j.jmbbm.2021.104779","title":"Nonlinearity of the coefficient of thermal expansion in brain tissue","year":2021,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Army Research Laboratory; Government of South Australia","keywords":"Thermal expansion; Microscale chemistry; Nonlinear system; Biomedical engineering; Brain tissue; Materials science; Work (physics); Thermal; Biological system; Correlation coefficient; Composite material; Thermodynamics; Physics; Mathematics; Statistics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001976481,0.0001987729,0.0001442563,0.0004404851,0.0001688175,0.0002933381,0.0004393656,0.0003954404,0.003708665],"category_scores_gemma":[0.001758285,0.0002204527,0.0001126993,0.0001944327,0.0006089256,0.0006964391,0.0003040321,0.00079652,0.0006352161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913098,"about_ca_system_score_gemma":0.00036681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093387,"about_ca_topic_score_gemma":0.000959763,"domain_scores_codex":[0.9999357,0.0000120339,0.000001805278,0.00001666359,0.0000175243,0.0000162989],"domain_scores_gemma":[0.9991763,0.0004785539,0.0001136345,0.00003977618,0.0001013957,0.00009033168],"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":[0.0005730977,0.0001468173,0.006080088,0.0002134681,0.00002503856,0.001019556,0.0005073348,0.02883388,0.9405079,0.01079974,0.001211777,0.01008133],"study_design_scores_gemma":[0.00005817062,0.0003391647,0.1122451,0.00007892508,0.00003632463,0.002325082,0.0005126656,0.5243264,0.3460592,0.01182218,0.002051418,0.0001454105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712945,0.0007141349,0.01853845,0.0004592092,0.00003344924,0.00002883961,0.0001992347,0.0002235058,0.008508784],"genre_scores_gemma":[0.9952679,0.0001635387,0.00122828,0.00004121332,0.00001324953,0.00001926768,0.00007306312,0.00003722528,0.003156193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708665,"threshold_uncertainty_score":0.01240671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529583834187533,"score_gpt":0.29514442432258,"score_spread":0.2798485859807047,"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."}}