{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005939301,0.0001841923,0.0001096662,0.0001444851,0.0001009674,0.0003113484,0.0001457306,0.0001866428,0.001598139],"category_scores_gemma":[0.0001323367,0.0001157906,0.0001328954,0.00009462706,0.0002186707,0.0002697462,0.0002159521,0.0003735877,0.0003084739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720301,"about_ca_system_score_gemma":0.0001157623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001965845,"about_ca_topic_score_gemma":0.0004956139,"domain_scores_codex":[0.9999353,0.000006035679,0.000002680969,0.00001095874,0.00001897515,0.00002619003],"domain_scores_gemma":[0.9999201,0.0000166233,0.00002337452,0.000009063739,0.000006984291,0.00002378014],"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":[0.00006710541,0.0000193199,0.00007196572,0.00001749915,0.000002534056,0.00003928506,0.00001752995,0.0001078584,0.9971577,0.0003252337,0.00007079778,0.002103227],"study_design_scores_gemma":[0.00001389171,0.0000909238,0.0005966498,0.000001220695,0.000003609062,0.0000577113,0.000009895249,0.0005681959,0.9977641,0.00005827531,0.0008306057,0.000004861635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925443,0.0004999888,0.002010242,0.00008374239,0.00003499152,0.00001133306,0.0001051158,0.000127887,0.004582477],"genre_scores_gemma":[0.9970849,0.0001394123,0.0006030687,0.00003044906,0.00001089898,0.000007057774,0.00006398734,0.00001407642,0.002046089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001598139,"threshold_uncertainty_score":0.005346358,"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."}}