{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753547,0.0004482874,0.0002197679,0.0001647924,0.00009609682,0.000123697,0.0002405298,0.0002577261,0.0008176141],"category_scores_gemma":[0.0001092644,0.0002204581,0.0002116935,0.0001182275,0.0001022467,0.0003398123,0.0002338081,0.0003256854,0.0003834002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089358,"about_ca_system_score_gemma":0.0001718337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001314304,"about_ca_topic_score_gemma":0.0003381412,"domain_scores_codex":[0.9999049,0.00000984851,0.00001067585,0.0000310087,0.00002295689,0.00002051216],"domain_scores_gemma":[0.9999321,0.00001090718,0.00002595827,0.000009149234,0.00000611581,0.00001587714],"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":[0.00001637048,0.00001470582,0.00003448088,0.00005192028,0.0000043896,0.00003541845,0.000009532,0.00009036908,0.9977195,0.0001166263,0.00002619362,0.001880507],"study_design_scores_gemma":[0.00001251586,0.0001188416,0.0002270193,0.000002665959,0.000007142271,0.00008915225,0.000003727652,0.0006449032,0.9977927,0.00002509159,0.001069694,0.00000657285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91448,0.00288232,0.07666795,0.0001767625,0.0001111008,0.0002422646,0.0006395749,0.0005421611,0.004257939],"genre_scores_gemma":[0.9552411,0.001224507,0.04020707,0.00006097692,0.00001877941,0.0001409771,0.000315355,0.00005553246,0.002735771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008176141,"threshold_uncertainty_score":0.002735257,"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."}}