{"id":"W2895204438","doi":"10.1039/c8sm01192c","title":"Polymer functionalized nanoparticles in liquid crystals: combining PDLCs with LC nanocomposites","year":2018,"lang":"en","type":"article","venue":"Soft Matter","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; HEC Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Nanocomposite; Polymer; Materials science; Liquid crystal; Nanoparticle; Polymer nanocomposite; Chemical engineering; Polymer science; Nanotechnology; Polymer chemistry; Composite material; Optoelectronics","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":["insufficient_payload"],"category_scores_codex":[0.0003639788,0.0001821192,0.0002094474,0.000118031,0.000158979,0.0001354574,0.0002763511,0.00004300914,0.01170432],"category_scores_gemma":[0.00004056864,0.0001426206,0.00002958752,0.0002563941,0.0003570456,0.0005455608,0.0001991631,0.00009617842,0.002898459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007924208,"about_ca_system_score_gemma":0.00007196117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007701039,"about_ca_topic_score_gemma":0.000054622,"domain_scores_codex":[0.9980162,0.0001255411,0.0002942152,0.0004040106,0.0005349257,0.0006251039],"domain_scores_gemma":[0.999226,0.0001168672,0.00008316459,0.0003215373,0.0001192975,0.0001331112],"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":[0.001083138,0.0001034154,0.006247948,0.00002380208,0.000009129349,0.00001651276,0.0002645588,0.000005479693,0.9905192,0.0001505382,0.001487797,0.0000884727],"study_design_scores_gemma":[0.001270256,0.0006528499,0.001749661,0.0001087501,0.000006463199,0.00001693618,0.00009920952,0.00003383681,0.9894904,0.0003672165,0.005977587,0.0002268687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956024,0.0001553232,0.0006411278,0.0009607495,0.0001746898,0.0002504478,0.00001199934,0.00008037502,0.00212283],"genre_scores_gemma":[0.9945973,0.000001757405,0.001481152,0.001544964,0.0001050192,0.00009069652,0.000007141769,0.00003522931,0.00213679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008805864,"threshold_uncertainty_score":0.9978779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673986802595444,"score_gpt":0.2778898734276338,"score_spread":0.2611500054016794,"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."}}