{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002035908,0.000421677,0.0002201665,0.000243011,0.0001577255,0.0002886141,0.0001751031,0.000384402,0.0008706623],"category_scores_gemma":[0.0002595017,0.0001316914,0.0002072451,0.0001108414,0.0002041473,0.0003181639,0.000252722,0.0003099171,0.0003911975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605313,"about_ca_system_score_gemma":0.0002511952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008971765,"about_ca_topic_score_gemma":0.0009879359,"domain_scores_codex":[0.9998462,0.00002324092,0.00001093211,0.0000337315,0.0000462308,0.0000395206],"domain_scores_gemma":[0.9998585,0.00003605196,0.0000281265,0.00001029128,0.00004288665,0.00002407237],"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":[0.00001732624,0.00000850291,0.00004546766,0.00004173055,0.000002263727,0.00002394445,0.00000963493,0.00004417189,0.9988926,0.00006107271,0.0000227515,0.0008304934],"study_design_scores_gemma":[0.000003641064,0.00007968002,0.0003031834,0.000003899034,0.000005024103,0.00004050452,0.000007902222,0.0004556218,0.9982837,0.00001421455,0.0007988996,0.000003683004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730656,0.002755533,0.02118791,0.0001783665,0.00009698117,0.0001431173,0.0002144576,0.0001622612,0.002195711],"genre_scores_gemma":[0.9738016,0.001500127,0.01975939,0.0001172043,0.00003546569,0.0001003298,0.0002650219,0.00002921894,0.004391698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008971765,"threshold_uncertainty_score":0.0029127,"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."}}