{"id":"W2758111068","doi":"10.1021/acsmacrolett.7b00611","title":"One-Pot Preparation of Autonomously Self-Healable Elastomeric Hydrogel from Boric Acid and Random Copolymer Bearing Hydroxyl Groups","year":2017,"lang":"en","type":"article","venue":"ACS Macro Letters","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; State Administration of Foreign Experts Affairs; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Copolymer; Boric acid; Materials science; Comonomer; Elastomer; Self-healing hydrogels; Boron; Monomer; Polymer; Aqueous solution; Ultimate tensile strength; Polymer chemistry; Chemical engineering; Composite material; Organic chemistry; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003491239,0.0002428972,0.0004774081,0.00009043716,0.0006471053,0.000312923,0.0005302651,0.00009682548,0.00005842415],"category_scores_gemma":[0.00003194157,0.0002556951,0.00007680627,0.00007810283,0.0001801758,0.0006629596,0.0002557727,0.0001490847,0.00005521504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000709204,"about_ca_system_score_gemma":0.00004644486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002629547,"about_ca_topic_score_gemma":0.00004867193,"domain_scores_codex":[0.9981117,0.00007634419,0.00046726,0.0005276366,0.0003243176,0.0004927531],"domain_scores_gemma":[0.9984429,0.0001191692,0.0005098794,0.0007542202,0.00003063514,0.0001431933],"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":[0.0001641417,0.00005855758,0.002404174,0.00003784287,0.00005176725,0.00000620853,0.001191603,0.0001095713,0.9951299,0.00003970569,0.0001552319,0.0006512744],"study_design_scores_gemma":[0.002028181,0.00008173327,0.005262131,0.00005969485,0.0001148595,0.000009860857,0.00002784271,0.003932947,0.9876643,0.0001457117,0.0003364922,0.0003361923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995979,0.0009514274,0.0009669365,0.0007991904,0.0004923704,0.0002824246,0.00003058673,0.0001345014,0.0003635484],"genre_scores_gemma":[0.9961315,0.00008630608,0.00277493,0.0006866776,0.0002037019,0.00002662325,0.00001777742,0.0000337321,0.0000387138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007465568,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006534277171835,"score_gpt":0.2427278567612949,"score_spread":0.2326625139895766,"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."}}