{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234494,0.0002842495,0.0001044436,0.0001263166,0.00007973282,0.0001541916,0.0001367826,0.0001216786,0.0006072052],"category_scores_gemma":[0.0002157763,0.0001281395,0.0001454885,0.00006964706,0.0001809924,0.0001919116,0.0001258267,0.0002431348,0.0001331186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359939,"about_ca_system_score_gemma":0.00008649354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330638,"about_ca_topic_score_gemma":0.0004607644,"domain_scores_codex":[0.9999214,0.00001116478,0.000005129025,0.00002133325,0.00002395507,0.00001702669],"domain_scores_gemma":[0.9998251,0.00006697965,0.00005657713,0.00001375497,0.0000176019,0.00002000476],"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":[0.00001745632,0.000004829179,0.00002633429,0.00001167394,7.267034e-7,0.000007876568,0.000006214351,0.00005105552,0.9992003,0.00001673935,0.000004115355,0.0006526082],"study_design_scores_gemma":[0.000001947856,0.00005311382,0.0002316605,9.023306e-7,0.000002003661,0.00001730388,0.000003000351,0.0003289496,0.9991998,0.000004516531,0.0001557,0.000001141889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919797,0.0005490575,0.006156398,0.00002873851,0.00001217695,0.00001592302,0.00003899569,0.00009162044,0.001127295],"genre_scores_gemma":[0.9949332,0.0002549237,0.003958166,0.00001804806,0.00000632753,0.00001433359,0.00003385115,0.00002345834,0.0007577801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006072052,"threshold_uncertainty_score":0.002031267,"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."}}