{"id":"W4315464967","doi":"10.1101/2023.01.10.523433","title":"Immobilisation of Lipophilic and Amphiphilic Biomarker on Hydrophobic Microbeads","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre","funders":"","keywords":"Microbead (research); Amphiphile; Chemistry; Biomolecule; Hydrophobic effect; Lipid bilayer; Chromatography; Biophysics; Biochemistry; Membrane; Organic chemistry; Polymer; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002757019,0.0003671881,0.0003231601,0.0001735296,0.00009173661,0.00003642061,0.0002752067,0.000526671,0.000002463864],"category_scores_gemma":[0.00009628121,0.0003909004,0.0001233455,0.0002518944,0.0002132738,0.000004109103,0.0004611465,0.0002483546,0.00001031227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004679523,"about_ca_system_score_gemma":0.0001256641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002830416,"about_ca_topic_score_gemma":0.000002449146,"domain_scores_codex":[0.9982334,0.0000594695,0.0003941691,0.0008849602,0.0001519585,0.0002760314],"domain_scores_gemma":[0.998115,0.00002441016,0.0003303129,0.001211174,0.0002097437,0.0001093733],"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":[0.00003033921,0.00007165282,0.0004475817,0.0001253046,0.00005613757,0.000002361332,0.0000015668,0.00002547134,0.9986141,0.0002226394,0.000394395,0.000008438226],"study_design_scores_gemma":[0.000212456,0.0001220458,0.02122275,0.0001900679,0.00004462956,3.332137e-8,9.507074e-7,0.000114641,0.973888,0.00003498403,0.003747261,0.0004221424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963793,0.0005394839,0.001511265,0.0003354123,0.0002082211,0.0006164529,0.0002356274,0.0001707289,0.000003478367],"genre_scores_gemma":[0.994242,0.0009569121,0.004231334,0.0001178189,0.0001943971,0.0001294546,0.000005171617,0.0001117688,0.00001116871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02472607,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861264529905943,"score_gpt":0.2490143441782735,"score_spread":0.2304016988792141,"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."}}