{"id":"W3158624278","doi":"10.1680/jgrma.20.00079","title":"Controlled shape memory effects of magnetic polymer nanocomposites by induction heating","year":2021,"lang":"en","type":"article","venue":"Green Materials","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Induction heating; Nanocomposite; Shape-memory polymer; Shape-memory alloy; Composite material; Polymer; Self-healing hydrogels; Composite number; Nanoparticle; Polymer nanocomposite; Nanotechnology; Electromagnetic coil; Polymer chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003683567,0.0002299293,0.0007352423,0.00006773044,0.0001554342,0.0001361523,0.0002109243,0.0001162506,0.002058651],"category_scores_gemma":[0.0000601846,0.0002067111,0.00009720859,0.0001468815,0.00007155511,0.0001741475,0.0001357936,0.00005476991,0.00007563546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002569027,"about_ca_system_score_gemma":0.00005606473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007228068,"about_ca_topic_score_gemma":0.000004795437,"domain_scores_codex":[0.9978366,0.0004262862,0.0006653187,0.0003870081,0.0002950851,0.0003897361],"domain_scores_gemma":[0.9989591,0.0002374106,0.0002874112,0.0003231466,0.00009496961,0.00009793576],"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":[0.0001622155,0.00007925877,0.0000910522,0.0002441441,0.00002244194,0.00001643211,0.0001965246,0.00000310943,0.9977075,0.00006000172,0.00008870285,0.001328626],"study_design_scores_gemma":[0.002160266,0.0001450381,0.0002726269,0.0001392134,0.00008326277,0.00003302245,0.00003973691,0.0001180854,0.996703,0.00005949142,0.00003487759,0.0002113325],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903701,0.00735672,0.00005731619,0.0001490522,0.001286144,0.0003718256,0.00006171749,0.00008590305,0.0002612132],"genre_scores_gemma":[0.9976783,0.00003338699,0.0009214622,0.0002462674,0.0002565045,0.0000527603,0.00004302901,0.00003094306,0.0007373276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007323333,"threshold_uncertainty_score":0.9988536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006943030147237341,"score_gpt":0.2182982606308004,"score_spread":0.211355230483563,"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."}}