{"id":"W2133896643","doi":"10.1177/1045389x06074679","title":"Compensation of Thermally Induced Distortion in Composite Structures using Macro-fiber Composites","year":2007,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Actuator; Finite element method; Composite material; Distortion (music); Piezoelectricity; Thermal; Composite plate; Deformation (meteorology); Voltage; Compensation (psychology); Fiber; Structural engineering; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002458465,0.0001285326,0.0003299565,0.0001685684,0.00003770808,0.00006939865,0.00007664016,0.00009617127,0.00004060519],"category_scores_gemma":[0.00001019779,0.0001015818,0.00004426299,0.00006328156,0.00002741807,0.0001442325,0.00001170304,0.0001149238,2.718213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000651203,"about_ca_system_score_gemma":0.00001089554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229234,"about_ca_topic_score_gemma":0.00002930406,"domain_scores_codex":[0.9987834,0.00004949015,0.0007900055,0.00006363986,0.0001875295,0.0001259398],"domain_scores_gemma":[0.9994313,0.00004917548,0.0003092253,0.00005717762,0.0001003354,0.00005275982],"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":[0.0002586365,0.000009243361,0.003041848,0.0001536089,0.00006278783,0.000008373244,0.0005438087,0.1023866,0.8912542,0.0009584487,0.000005025433,0.001317443],"study_design_scores_gemma":[0.0009663604,0.0002752712,0.2354846,0.0003696107,0.00007664503,0.0003082886,0.0005186836,0.01991657,0.7409106,0.0007255522,0.0001267705,0.0003210859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751322,0.000338614,0.02313142,0.000003263131,0.001196908,0.0001265249,0.00001151044,0.000009811568,0.00004976919],"genre_scores_gemma":[0.9991145,0.00001473204,0.0005681908,0.000005192848,0.0002791379,2.974111e-7,0.00000400834,0.00001218544,0.0000018196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324428,"threshold_uncertainty_score":0.4142387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609164011916178,"score_gpt":0.2425928774830141,"score_spread":0.2265012373638524,"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."}}