{"id":"W2330349169","doi":"10.1021/ma202506b","title":"Multishape Memory Effect of Norbornene-Based Copolymers with Cholic Acid Pendant Groups","year":2012,"lang":"en","type":"article","venue":"Macromolecules","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Korea Astronomy and Space Science Institute; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Copolymer; Norbornene; Shape-memory polymer; Glass transition; Polymer chemistry; Cholic acid; Materials science; Monomer; Polymer; Triethylene glycol; Chemical engineering; Composite material; 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":[0.0001108719,0.0002973302,0.0001097482,0.0001540414,0.00006780167,0.0001672214,0.000127518,0.0001523561,0.0006482265],"category_scores_gemma":[0.0001895894,0.0001319706,0.0001441903,0.00009017663,0.0001390286,0.0002973154,0.000154267,0.0002403253,0.0001549194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368811,"about_ca_system_score_gemma":0.00009797945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001758253,"about_ca_topic_score_gemma":0.000520004,"domain_scores_codex":[0.9999493,0.000006858574,0.000004329714,0.00001259004,0.000012673,0.00001428644],"domain_scores_gemma":[0.9998609,0.00003368043,0.00004624104,0.00001518875,0.00001548132,0.00002847609],"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":[0.00002946677,0.000008618263,0.00005355819,0.00001103864,0.000001967236,0.00001845297,0.000006640277,0.00005952242,0.9988886,0.00004129191,0.000005551992,0.0008753936],"study_design_scores_gemma":[0.000004102581,0.0001134409,0.0003952027,0.000001469243,0.000003706885,0.00004423458,0.000002626498,0.0003865829,0.9987269,0.000007105131,0.000313015,0.000001674071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975488,0.0004669443,0.001242764,0.00001439397,0.000008637522,0.00000732544,0.00002935241,0.00002503644,0.0006566019],"genre_scores_gemma":[0.9973034,0.000331583,0.001408763,0.00001420485,0.000003882395,0.000006170204,0.00004253496,0.00001276589,0.0008766656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006482265,"threshold_uncertainty_score":0.002168536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006993227320827113,"score_gpt":0.2286191807709178,"score_spread":0.2216259534500907,"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."}}