{"id":"W2625561897","doi":"10.6000/1929-5995.2017.06.02.4","title":"Anisotropy Enhanced Phase Separation in Polymer Dispersed Liquid Crystals","year":2017,"lang":"en","type":"article","venue":"Journal of Research Updates in Polymer Science","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liquid crystal; Materials science; Polymer; Chemical physics; Anisotropy; Swelling; Polymerization; Phase (matter); Kinetics; Thermodynamics; Chemical engineering; Polymer chemistry; Organic chemistry; Composite material; Optics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01212032,0.000221024,0.0004425739,0.001647566,0.0009074332,0.001210546,0.004012815,0.00008166445,0.000684745],"category_scores_gemma":[0.003862929,0.0001806623,0.00008340625,0.001319367,0.003295985,0.006322944,0.001093658,0.0007837479,0.00009681957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007081295,"about_ca_system_score_gemma":0.001789467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003086489,"about_ca_topic_score_gemma":0.0001378129,"domain_scores_codex":[0.9921608,0.0004922149,0.0009860116,0.0006240072,0.004070229,0.001666733],"domain_scores_gemma":[0.996496,0.0003063524,0.0006132157,0.001086126,0.0009156865,0.0005826313],"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":[0.001438955,0.0004142646,0.0004568044,0.00001802149,0.000003747354,0.000213437,0.0005373131,0.000008414688,0.9936412,0.0008713671,0.0001197202,0.002276728],"study_design_scores_gemma":[0.00254949,0.001613258,0.0006415339,0.0002376249,0.000002141437,0.00002738761,0.000481174,0.0003758157,0.9930505,0.0006311372,0.0002060379,0.0001839593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929213,0.002572998,0.0006480758,0.00140067,0.0005336264,0.0003126602,0.00001822232,0.00001052098,0.001581921],"genre_scores_gemma":[0.9981773,0.0003352707,0.0005893772,0.00005829283,0.0001655042,0.00002373506,0.000001235782,0.0000193222,0.0006299221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008257395,"threshold_uncertainty_score":0.9998263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466880949329937,"score_gpt":0.4704435398480156,"score_spread":0.4157747303547162,"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."}}