{"id":"W212288201","doi":"10.1016/b978-0-85709-698-2.00001-5","title":"Introduction to shape-memory polymers for biomedical applications","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Shape-memory polymer; Polymer; Materials science; Nanotechnology; Polymer science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004609761,0.0003547618,0.0004822999,0.0002255855,0.0002134815,0.0000839002,0.0004617646,0.0002908762,0.001030112],"category_scores_gemma":[0.00001960707,0.0003401652,0.0001741065,0.00002581603,0.0001553939,0.00004636551,0.0001632674,0.0002012719,0.0009268534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644497,"about_ca_system_score_gemma":0.0002243196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002078119,"about_ca_topic_score_gemma":0.000005468684,"domain_scores_codex":[0.9978281,0.00001977045,0.0005209524,0.0007582322,0.0004421537,0.0004307796],"domain_scores_gemma":[0.9984728,0.00005818193,0.0002092257,0.0006561994,0.0001576379,0.0004460298],"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":[0.00004176402,0.00001471152,5.149e-8,0.00007831322,0.00002573537,0.000001655942,0.0001490348,0.00000344641,0.0254131,0.005247051,0.006603175,0.962422],"study_design_scores_gemma":[0.0002148569,0.0001210456,1.944272e-7,0.00006135247,0.00009552189,0.00001763575,0.00001247831,0.00006135039,0.001983432,0.002629279,0.9944186,0.0003842086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007444689,0.002882629,0.00216015,0.002595657,0.002190045,0.002307506,0.000389878,0.0002778191,0.9871219],"genre_scores_gemma":[0.0001517645,0.00001340727,0.005737063,0.0007314609,0.007510773,0.0005166945,0.0001772859,0.0001065269,0.985055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9878154,"threshold_uncertainty_score":0.999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088099404456461,"score_gpt":0.2671007904949445,"score_spread":0.2462197964503799,"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."}}