{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002139749,0.0002233124,0.0002059622,0.00005467354,0.0004669921,0.00004865589,0.0001664383,0.0001069372,0.000008608205],"category_scores_gemma":[0.0001393815,0.000231704,0.0001723863,0.0001568995,0.00005755827,0.00001047094,0.0002373709,0.0001914619,0.000002175064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005084106,"about_ca_system_score_gemma":0.0001504812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000732748,"about_ca_topic_score_gemma":0.00001191968,"domain_scores_codex":[0.9986287,0.00009281009,0.0002277655,0.0005084825,0.0001628833,0.0003793545],"domain_scores_gemma":[0.9991545,0.00002885685,0.0001370129,0.0004602301,0.0001210103,0.00009838225],"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":[0.0001339332,0.00001527742,0.0000641662,0.0000160867,0.00005488071,0.000008284929,0.0001505408,0.0001579553,0.9907801,0.0001533786,0.0001141148,0.008351242],"study_design_scores_gemma":[0.0007313986,0.000285494,0.0002111074,0.000002851945,0.00009076414,0.0001238124,0.0004248377,0.000552432,0.9844643,0.0001783513,0.0126118,0.0003228671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957425,0.0001243606,0.002129084,0.0005628507,0.000483032,0.0005295116,0.0001659268,0.00004077362,0.0002219871],"genre_scores_gemma":[0.9958175,0.000007490858,0.002237723,0.0007139435,0.000268472,0.00006351892,0.000519375,0.00004699567,0.0003249235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249769,"threshold_uncertainty_score":0.9448615,"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."}}