{"id":"W2052642323","doi":"10.1117/12.886144","title":"Liquid crystalline block copolymers for macroscopic nanodomain orientation and photoinduced microphase separation","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":0,"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; Copolymer; Mesogen; Polymer; Liquid crystal; Miscibility; Phase (matter); Side chain; Chemical engineering; Polymer chemistry; Liquid crystalline; Organic chemistry; Composite material; Optoelectronics; 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":[0.00009612964,0.0002265279,0.0001051675,0.0001235924,0.000109493,0.0001693232,0.0001227936,0.000162767,0.0006707237],"category_scores_gemma":[0.0000896855,0.0001066777,0.0001111769,0.00009802068,0.0001373127,0.0002199926,0.0001362917,0.0004068998,0.000315751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730776,"about_ca_system_score_gemma":0.0002038203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002983886,"about_ca_topic_score_gemma":0.0006996818,"domain_scores_codex":[0.9999392,0.000007885671,0.000003856069,0.00001319111,0.0000237735,0.00001212148],"domain_scores_gemma":[0.9999422,0.00001584404,0.0000168041,0.000006948967,0.000006796007,0.00001144578],"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":[0.000009559304,0.00001823593,0.00004989147,0.00002617343,0.000001500816,0.00001798934,0.000007742918,0.0002183166,0.9964095,0.0003973464,0.00003091492,0.002812865],"study_design_scores_gemma":[0.000009310843,0.00008333116,0.0002345554,0.000001859766,0.000002797671,0.00004478886,0.000002799256,0.001407295,0.9955817,0.00007217985,0.002557224,0.000002146137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9389431,0.007367634,0.04497366,0.0004690799,0.00007073415,0.0002061539,0.0002611403,0.0003127098,0.007395667],"genre_scores_gemma":[0.9684054,0.002060666,0.02621423,0.00006507948,0.00001756555,0.00008572879,0.0001600232,0.00003781401,0.002953649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006707237,"threshold_uncertainty_score":0.002243817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908783237456118,"score_gpt":0.2809829977899081,"score_spread":0.2618951654153469,"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."}}