{"id":"W1976261214","doi":"10.1021/la1019668","title":"Micromechanics Model of Liquid Crystal Anisotropic Triple Lines with Applications to Self-Assembly","year":2010,"lang":"en","type":"article","venue":"Langmuir","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Liquid crystal; Wetting; Anisotropy; Contact angle; Materials science; Micromechanics; Capillary action; Evaporation; Surface tension; Condensed matter physics; Chemical physics; Optics; Composite material; Chemistry; Thermodynamics; Physics; Composite number; Optoelectronics","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":[0.00009324031,0.0003532183,0.0001599054,0.0004257894,0.0002360014,0.000371574,0.000572618,0.0005498538,0.002043481],"category_scores_gemma":[0.0001572201,0.0001750398,0.0002280435,0.0001711025,0.0004892594,0.0005467341,0.0001825033,0.000328396,0.0003246936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004453103,"about_ca_system_score_gemma":0.0002842162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162572,"about_ca_topic_score_gemma":0.000911814,"domain_scores_codex":[0.9999279,0.000009484987,0.000003612972,0.00001684137,0.0000308424,0.00001135479],"domain_scores_gemma":[0.999934,0.00001292456,0.00002093737,0.000008809715,0.00001439904,0.000008884062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005918217,0.0001181794,0.0009179322,0.0001133751,0.00001944438,0.0007770292,0.000193308,0.253616,0.5503989,0.1779091,0.0007790174,0.01509854],"study_design_scores_gemma":[0.00001132544,0.00005915569,0.0006144276,0.00000473615,0.00000395055,0.0001657655,0.00003626115,0.977307,0.01121447,0.00855381,0.00201776,0.00001136932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3779869,0.001704463,0.5794711,0.0009668733,0.000121766,0.0001347254,0.0001915005,0.0003255565,0.03909721],"genre_scores_gemma":[0.9750437,0.0005797597,0.01704414,0.00005926517,0.00002875532,0.0001096706,0.00004306303,0.00002849242,0.007063199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002043481,"threshold_uncertainty_score":0.006836116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008183814915082263,"score_gpt":0.2209809515241906,"score_spread":0.2127971366091084,"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."}}