{"id":"W2010292428","doi":"10.1063/1.2361283","title":"Optical modeling of liquid crystal biosensors","year":2006,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Biosensor; Liquid crystal; Nanotechnology; Materials science; Environmental science; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211524,0.0004184942,0.0004280703,0.0003352063,0.0003121396,0.0008673209,0.001136477,0.001298129,0.001365645],"category_scores_gemma":[0.0008102117,0.0003058157,0.0004094256,0.0003910156,0.0004844389,0.0007971982,0.000313134,0.0004664106,0.0004520943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181472,"about_ca_system_score_gemma":0.0009003888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006160149,"about_ca_topic_score_gemma":0.002228463,"domain_scores_codex":[0.9997844,0.00003484739,0.000009750658,0.00003707438,0.0001082019,0.00002570299],"domain_scores_gemma":[0.9997836,0.0000929974,0.00002694861,0.00002284208,0.00006323235,0.00001038583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002891264,0.00005126475,0.0003464338,0.00006401222,0.00001343218,0.0001325714,0.00005996172,0.9312073,0.0360537,0.02478998,0.0004248228,0.006827602],"study_design_scores_gemma":[0.000002653544,0.000005648533,0.00004903047,0.000002022614,0.000001627538,0.00001425842,0.000003903695,0.9954513,0.002725752,0.001057833,0.0006826126,0.000003418756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1028892,0.0008699364,0.8700962,0.0006282203,0.0001091727,0.0001456228,0.0004444804,0.0009794035,0.02383782],"genre_scores_gemma":[0.7800861,0.001556235,0.1960968,0.0002150885,0.00004348371,0.0004832309,0.0004474599,0.0001467272,0.02092482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006160149,"threshold_uncertainty_score":0.01224858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293772335222657,"score_gpt":0.2842423319780208,"score_spread":0.2613046086257942,"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."}}