{"id":"W4224296499","doi":"10.1039/d2sm00201a","title":"The effect of the printing temperature on 4D DLP printed pNIPAM hydrogels","year":2022,"lang":"en","type":"article","venue":"Soft Matter","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Lower critical solution temperature; Swelling; Differential scanning calorimetry; Materials science; Chemical engineering; Biocompatibility; Poly(N-isopropylacrylamide); Nanotechnology; Composite material; Polymer chemistry; Polymer; Thermodynamics; Copolymer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002740677,0.0003903619,0.0002116707,0.0001670558,0.0001074744,0.0002901534,0.0002002436,0.0002258048,0.0009887711],"category_scores_gemma":[0.0004721613,0.0001996444,0.0002404601,0.000223988,0.0001997985,0.0002626652,0.0001347361,0.0004244523,0.0002834087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515677,"about_ca_system_score_gemma":0.0000720592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090212,"about_ca_topic_score_gemma":0.0003252131,"domain_scores_codex":[0.9997849,0.00003110129,0.00003078131,0.00006130504,0.00005763619,0.00003424589],"domain_scores_gemma":[0.9994847,0.0002652562,0.0001224906,0.00004385629,0.00005454768,0.00002920556],"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":[0.00005944477,0.00001109843,0.00006753902,0.00003230945,0.000003531378,0.00003025133,0.00001544645,0.0001150773,0.9988536,0.000008364198,0.000006507511,0.0007968016],"study_design_scores_gemma":[6.628765e-7,0.00004350465,0.0005143003,0.000001260717,0.000004369464,0.0000127306,0.000003515151,0.0001644994,0.9991781,0.000002148623,0.0000729555,0.000001818374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963644,0.000599193,0.002002049,0.00002383285,0.00002740409,0.00001292431,0.0001774241,0.00004815149,0.0007445586],"genre_scores_gemma":[0.993919,0.0005450157,0.003927666,0.00003399351,0.000009725001,0.00002313474,0.0001546718,0.00005420463,0.00133252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009887711,"threshold_uncertainty_score":0.003307819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004327668975325681,"score_gpt":0.229517205954226,"score_spread":0.2251895369789003,"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."}}