{"id":"W2331748437","doi":"10.1021/cm5041584","title":"Self-Healing Supramolecular Hydrogel Made of Polymers Bearing Cholic Acid and β-Cyclodextrin Pendants","year":2014,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cholic acid; Self-healing hydrogels; Cyclodextrin; Rheology; Supramolecular chemistry; Polymer chemistry; Polymer; Supramolecular polymers; Copolymer; Dynamic mechanical analysis; Shear thinning; Materials science; Chemical engineering; Chemistry; Organic chemistry; Composite material; Molecule; Bile acid","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":[],"consensus_categories":[],"category_scores_codex":[0.0003400185,0.0001923077,0.0003342447,0.00002383954,0.00005584536,0.00001793191,0.0002665952,0.0002019575,0.00007167716],"category_scores_gemma":[0.000131538,0.0002003358,0.00006306136,0.00004990218,0.0001528492,0.000005280404,0.0001817715,0.00004914295,0.000003359673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001070878,"about_ca_system_score_gemma":0.00004622302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005704179,"about_ca_topic_score_gemma":6.287273e-7,"domain_scores_codex":[0.9987636,0.00004281921,0.0004362787,0.000370812,0.0001399007,0.000246623],"domain_scores_gemma":[0.9990728,0.00001166646,0.0002466677,0.0005186151,0.000052163,0.00009810214],"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":[0.00003565951,0.00005057624,0.0001608747,0.0004406042,0.00006339488,3.325574e-7,0.00004945674,0.000005924534,0.9986646,0.00001012902,0.00001351434,0.0005049755],"study_design_scores_gemma":[0.0003556369,0.00002988832,0.0001849676,0.0000459793,0.000043659,0.00002087249,0.00002938862,0.00002472819,0.9966761,0.00003465232,0.002366621,0.0001874326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979037,0.0007727504,0.0001714345,0.00004758713,0.00003096614,0.000145085,0.00005265237,0.00002065376,0.0008551411],"genre_scores_gemma":[0.9980023,0.0001837658,0.00141905,0.00003363295,0.0001129614,0.00003143648,0.00006959405,0.00003717147,0.0001100777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002353106,"threshold_uncertainty_score":0.8169457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021870416178232,"score_gpt":0.2291937207523925,"score_spread":0.2189750165906102,"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."}}