{"id":"W2127583659","doi":"10.1039/c0sm01245a","title":"Texture formation mechanisms in faceted particles embedded in a nematic liquid crystal matrix","year":2011,"lang":"en","type":"article","venue":"Soft Matter","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"American Chemical Society Petroleum Research Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Liquid crystal; Thermotropic crystal; Texture (cosmology); Materials science; Condensed matter physics; Gravitational singularity; Disclination; Square (algebra); Particle (ecology); Topological defect; String (physics); Matrix (chemical analysis); Biaxial nematic; Phase (matter); Surface (topology); Optics; Physics; Geometry; Composite material; Liquid crystalline; Theoretical physics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001492485,0.0001995584,0.0003425283,0.000279261,0.0004366619,0.0007656274,0.0004192878,0.0007008026,0.0009095667],"category_scores_gemma":[0.0005762283,0.000215802,0.0003599162,0.0001675717,0.0006747089,0.0005107503,0.0002876892,0.0002854858,0.00006224097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058978,"about_ca_system_score_gemma":0.0005531099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00885307,"about_ca_topic_score_gemma":0.005830196,"domain_scores_codex":[0.9999543,0.00000672647,0.000001939847,0.000007540348,0.00001035117,0.00001913235],"domain_scores_gemma":[0.9998017,0.0000925799,0.00003677275,0.00001734516,0.00002027877,0.00003126472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001449254,0.00009501017,0.005798732,0.0000667233,0.00004206127,0.0004366464,0.0001161221,0.9563965,0.02859916,0.006108672,0.0001526394,0.002042865],"study_design_scores_gemma":[0.00003380044,0.00003954563,0.001146072,0.000003096184,0.000007517217,0.00002799901,0.00004307056,0.9954771,0.002471795,0.0006473915,0.00009685998,0.000005702519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965455,0.00003240966,0.002260453,0.00003862174,0.00000364438,0.000006351949,0.00003731653,0.00001582908,0.001059788],"genre_scores_gemma":[0.997263,0.00003200462,0.002265459,0.00001016621,0.000002149372,0.000007785336,0.00005210283,0.000008018991,0.0003593981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00885307,"threshold_uncertainty_score":0.0176031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690224470618684,"score_gpt":0.2898994169760218,"score_spread":0.262997172269835,"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."}}