{"id":"W2342261973","doi":"10.1039/c6tc00718j","title":"Optically and thermally activated shape memory supramolecular liquid crystalline polymers","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Azobenzene; Materials science; Supramolecular chemistry; Polymer; Liquid crystalline; Supramolecular polymers; Liquid crystal; Side chain; Chemical engineering; Crystallography; Optoelectronics; Composite material; Crystal structure","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005941855,0.0002099988,0.0004185895,0.00003349788,0.0000768203,0.0001334767,0.0003450603,0.0001295679,0.00373532],"category_scores_gemma":[0.0001150736,0.0001345673,0.00007687769,0.00004824069,0.0001301912,0.0002645817,0.0001202573,0.0000816733,0.00001186004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004607775,"about_ca_system_score_gemma":0.0001135999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007294296,"about_ca_topic_score_gemma":9.360936e-8,"domain_scores_codex":[0.9983411,0.0000826126,0.0006848341,0.0002136032,0.0003332267,0.0003446537],"domain_scores_gemma":[0.9988102,0.0001026671,0.0004938734,0.0002076757,0.00014031,0.0002452551],"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":[0.0007901085,0.00005330086,0.000004950807,0.00006724951,0.00003389098,0.00009482969,0.00005284899,0.000006426608,0.9985849,0.00000550426,0.00003006079,0.0002759598],"study_design_scores_gemma":[0.0008672985,0.0001652128,0.00005072827,0.0001945879,0.00004239678,0.0004657487,0.00003738733,0.000005757404,0.9977293,0.00001883053,0.0002335915,0.000189162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976445,0.0004708104,0.000234289,0.0009991789,0.0002373132,0.00005201418,0.00003204929,0.0000296429,0.0003001948],"genre_scores_gemma":[0.9979135,0.0001303309,0.001223344,0.0001408815,0.0004188282,0.000001640811,0.000001859241,0.00002873434,0.0001408249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00372346,"threshold_uncertainty_score":0.9971754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007302612391807935,"score_gpt":0.2180703202159976,"score_spread":0.2107677078241897,"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."}}