{"id":"W4313197607","doi":"10.1021/acsomega.2c06420","title":"Acting as a Molecular Tailor: Dye Structural Modifications for Improved Sensitivity toward Lysophosphatidic Acids Sensing","year":2022,"lang":"en","type":"article","venue":"ACS Omega","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Foundation for Innovation; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Lysophosphatidic acid; Fluorescence; Quenching (fluorescence); Chemistry; BODIPY; Fluorescence spectroscopy; Aqueous medium; Nanotechnology; Biophysics; Aqueous solution; Materials science; Biochemistry; Organic chemistry; Receptor; Biology","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":[0.0001954577,0.0004277705,0.0002107677,0.0001358916,0.0001411247,0.0002825993,0.0003793951,0.0005497356,0.001340745],"category_scores_gemma":[0.0003646012,0.0001628399,0.0002009063,0.0001870388,0.0002090379,0.0004017404,0.0002583798,0.0007021892,0.0004302537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600136,"about_ca_system_score_gemma":0.0001716215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003565996,"about_ca_topic_score_gemma":0.0005273525,"domain_scores_codex":[0.9998806,0.00001498963,0.000008409287,0.00003960942,0.00002626937,0.00003009403],"domain_scores_gemma":[0.9998566,0.00003917055,0.00004108743,0.00001730601,0.00002669249,0.00001903399],"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":[0.00004844702,0.00001927475,0.00006035675,0.00005756365,0.000003273833,0.00003935689,0.00001699272,0.0002463101,0.9975882,0.0002068091,0.00004660166,0.001666934],"study_design_scores_gemma":[0.000008099681,0.0001006666,0.0002385646,0.000003091084,0.000005424712,0.00003644994,0.000006618986,0.001193027,0.9974668,0.00002533803,0.0009103356,0.000005586336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878969,0.0007459038,0.009446857,0.0001559376,0.00004080297,0.00004454613,0.0001161993,0.0001583883,0.001394462],"genre_scores_gemma":[0.9893462,0.0006297362,0.008275588,0.0001133685,0.00001180173,0.00005206511,0.00009568662,0.00003785127,0.001437658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340745,"threshold_uncertainty_score":0.00448525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402887386691079,"score_gpt":0.2692980344249019,"score_spread":0.2552691605579911,"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."}}