{"id":"W3165341099","doi":"10.3390/polym13101650","title":"Numerical Methods in Studies of Liquid Crystal Elastomers","year":2021,"lang":"en","type":"review","venue":"Polymers","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Computer science; Liquid crystal; Variety (cybernetics); Monte Carlo method; Categorization; Field (mathematics); Elastomer; Strengths and weaknesses; Mechanical engineering; Materials science; Biochemical engineering; Nanotechnology; Artificial intelligence; Physics; Engineering","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":[0.001224907,0.001317439,0.001512017,0.002691294,0.0004405605,0.00135786,0.00156723,0.001690048,0.003941316],"category_scores_gemma":[0.002512362,0.0005807403,0.0009021209,0.00384918,0.001464581,0.00159932,0.001316665,0.00220987,0.001992421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828514,"about_ca_system_score_gemma":0.001164089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263338,"about_ca_topic_score_gemma":0.0009574344,"domain_scores_codex":[0.999333,0.0001563706,0.00007040336,0.000110284,0.000297415,0.00003253613],"domain_scores_gemma":[0.9990827,0.0005558595,0.00006901394,0.00004767126,0.000216037,0.00002882768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006062918,0.0001750803,0.0005338636,0.02291706,0.0001752153,0.0003458929,0.000452315,0.02202244,0.006223764,0.2522526,0.02352468,0.6713165],"study_design_scores_gemma":[0.00002290614,0.0001172004,0.0008330058,0.005754626,0.00008570783,0.0008535532,0.000154907,0.01566084,0.004805461,0.07724165,0.8943803,0.00008987116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008016948,0.9624133,0.02594372,0.0006075067,0.0008493125,0.00004151408,0.00005554196,0.00005773749,0.00922973],"genre_scores_gemma":[0.01101582,0.9584399,0.02456374,0.0003271215,0.0009365121,0.0001270708,0.0001184287,0.00005350284,0.004418034],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003941316,"threshold_uncertainty_score":0.01318502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07180473470836947,"score_gpt":0.4192855818956547,"score_spread":0.3474808471872852,"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."}}