{"id":"W2334566132","doi":"10.1021/mz500520b","title":"Light-Controlled Complex Deformation and Motion of Shape-Memory Polymers Using a Temperature Gradient","year":2014,"lang":"en","type":"article","venue":"ACS Macro Letters","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; State Administration of Foreign Experts Affairs; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Polymer; Temperature gradient; Work (physics); Shape-memory polymer; Relaxation (psychology); Ethylene oxide; Photothermal therapy; Deformation (meteorology); Surface plasmon resonance; Anisotropy; Composite material; Absorption (acoustics); Nanoparticle; Nanotechnology; Optics; Thermodynamics","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":[0.000316682,0.0001466084,0.0002964193,0.0001021993,0.0001835366,0.00008407042,0.0001295957,0.00005355767,0.00003930247],"category_scores_gemma":[0.00001849876,0.0001224696,0.00005979139,0.00009701689,0.00005089276,0.0002326043,0.00005017945,0.00007389066,0.000005657728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004464345,"about_ca_system_score_gemma":0.00001236303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001576891,"about_ca_topic_score_gemma":0.000005682999,"domain_scores_codex":[0.9988882,0.0001158679,0.0003288937,0.0002062534,0.0001980037,0.00026276],"domain_scores_gemma":[0.9994618,0.00005236017,0.0002052586,0.0001790839,0.00002955465,0.00007188514],"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":[0.00007839967,0.00001621892,0.0001869621,0.0000422965,0.00001075774,0.00000102247,0.0008805044,0.0004532967,0.9972933,0.00008164573,0.00005621069,0.0008993752],"study_design_scores_gemma":[0.003414425,0.00008366446,0.003124662,0.00008581919,0.0000853497,0.00004899496,0.0001682124,0.08442094,0.9080632,0.00004308269,0.0001353151,0.0003263268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964198,0.0001670382,0.001106822,0.001687898,0.0002610033,0.0002038847,0.000005904627,0.00004282773,0.000104805],"genre_scores_gemma":[0.9964355,0.000003814476,0.001201625,0.002222202,0.0001039159,0.000005156096,0.000009247285,0.00001255288,0.00000601487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08923011,"threshold_uncertainty_score":0.4994167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083220475872563,"score_gpt":0.2214313210629082,"score_spread":0.2105991163041826,"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."}}