{"id":"W4407887209","doi":"10.1007/s00245-025-10237-7","title":"Systematic Design of Compliant Morphing Structures: A Phase-Field Approach","year":2025,"lang":"en","type":"article","venue":"Applied Mathematics & Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Directorate for Mathematical and Physical Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Morphing; Field (mathematics); Computer science; Phase (matter); Mathematics; Artificial intelligence; Physics","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":[0.0006124282,0.0005943312,0.000551825,0.000877863,0.0003887065,0.0006327653,0.0008475471,0.0008317647,0.002052187],"category_scores_gemma":[0.001056675,0.0006257158,0.0004975918,0.0003933003,0.0007969235,0.000830638,0.0009722831,0.0006910379,0.0003629873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003525204,"about_ca_system_score_gemma":0.0007355728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003656658,"about_ca_topic_score_gemma":0.0007012549,"domain_scores_codex":[0.9997923,0.00005562686,0.000009667863,0.00002762341,0.00009297533,0.00002187416],"domain_scores_gemma":[0.999706,0.0001279382,0.00005097148,0.00004407635,0.00005692046,0.00001406491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004814245,0.00008864316,0.0004144627,0.0002580599,0.00003141437,0.00008794729,0.00009524546,0.7692468,0.0255436,0.1293022,0.0007486956,0.0741348],"study_design_scores_gemma":[0.00001938779,0.0001068343,0.0001014711,0.00002938339,0.000009841432,0.00004581903,0.00002052576,0.9641254,0.003106877,0.0300758,0.002349159,0.000009618563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01472913,0.0001725995,0.9790147,0.0001130342,0.00002469324,0.0000776572,0.00002151916,0.0001013868,0.005745245],"genre_scores_gemma":[0.4699284,0.0006675994,0.5245446,0.0001361668,0.0000298538,0.000332609,0.00008587082,0.0001702951,0.004104675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002052187,"threshold_uncertainty_score":0.006865263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288018154507625,"score_gpt":0.2351521776046853,"score_spread":0.2222719960596091,"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."}}