{"id":"W4319831783","doi":"10.1002/cjce.24849","title":"Engineering cohesion and adhesion through dynamic bonds for advanced adhesive materials","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Adhesive; Cohesion (chemistry); Covalent bond; Materials science; Bond; Adhesion; Nanotechnology; Composite material; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003725085,0.0001403772,0.0002466379,0.0001018668,0.0001042921,0.00009515706,0.0002374264,0.00007202437,0.00001844473],"category_scores_gemma":[0.0001977269,0.0001100062,0.00005156758,0.0001496334,0.00002880964,0.0001679043,0.00002725706,0.0001265388,0.000005753332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178996,"about_ca_system_score_gemma":0.0001206405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002213728,"about_ca_topic_score_gemma":0.00002530968,"domain_scores_codex":[0.9990211,0.00001021541,0.0003199352,0.0001221143,0.0001305368,0.0003961538],"domain_scores_gemma":[0.9992671,0.0002177921,0.00009946398,0.0001181272,0.00005949194,0.0002380314],"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":[0.00001740374,0.000001221401,0.000002487802,0.00006066784,0.000008237828,0.0000136348,0.0002384808,0.00983961,0.9893247,0.0002628718,0.00005753321,0.0001731011],"study_design_scores_gemma":[0.0003031468,0.00004581551,0.00004376462,0.0001853337,0.00002284878,0.000082164,0.00001851913,0.01887807,0.9793795,0.0001569513,0.0007412552,0.0001426693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968849,0.0006888284,0.001095801,0.0006576395,0.0004886241,0.0001134964,0.00002704672,0.00003885472,0.000004849151],"genre_scores_gemma":[0.9964021,0.00001680708,0.003328066,0.00005012105,0.0001462071,0.000007513506,0.000005348651,0.00003048652,0.00001332869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00994529,"threshold_uncertainty_score":0.4485921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871817297664307,"score_gpt":0.2198905682389868,"score_spread":0.2110187509413224,"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."}}