{"id":"W3168379178","doi":"10.1021/jacs.1c04115","title":"Complex Liquid Crystal Emulsions for Biosensing","year":2021,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Liquid Crystal Research Advancements","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Chemistry; Liquid crystal; Biosensor; Dopant; Reflection (computer programming); Nanotechnology; Molecule; Chemical engineering; Organic chemistry; Optoelectronics; Doping; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003616401,0.0004787484,0.0002768544,0.0003337828,0.0001448114,0.0006055254,0.0003742793,0.000596532,0.001906743],"category_scores_gemma":[0.000387018,0.000217124,0.0002347888,0.0002233199,0.0002550504,0.0005548267,0.0004020266,0.0008269058,0.001150555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791896,"about_ca_system_score_gemma":0.0002879106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396199,"about_ca_topic_score_gemma":0.0005379328,"domain_scores_codex":[0.9997306,0.00003822632,0.00001624986,0.00006218719,0.0001233987,0.00002939595],"domain_scores_gemma":[0.9998827,0.00004057702,0.00002321882,0.000008404207,0.00003026154,0.00001484456],"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":[0.0000269194,0.00004276266,0.00005993041,0.0001417316,0.000009923496,0.00008606341,0.00001503105,0.0002955944,0.9845752,0.001931147,0.0004398042,0.01237592],"study_design_scores_gemma":[0.00001905397,0.00008822609,0.00008019368,0.00001207567,0.00001001391,0.0001463367,0.000007682,0.00294389,0.9846089,0.0003586546,0.01171696,0.000008050175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3487275,0.05678053,0.5520523,0.002066657,0.001544798,0.0008675269,0.0007903982,0.002469898,0.03470051],"genre_scores_gemma":[0.8108103,0.01541093,0.1566924,0.001008658,0.0001906686,0.0002755195,0.0005452601,0.000219154,0.01484706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001906743,"threshold_uncertainty_score":0.00637871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705797034819489,"score_gpt":0.334605471475568,"score_spread":0.297547501127373,"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."}}