{"id":"W2046708369","doi":"10.1021/ac049088f","title":"High-Throughput Screening of Protein Surface Activity via Flow Injection Analysis-pH Gradient-Dynamic Surface Tension Detection","year":2004,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; University of Washington","keywords":"Surface tension; Chemistry; Chromatography; Drop (telecommunication); Analytical Chemistry (journal); Maximum bubble pressure method; Flow injection analysis; Gibbs isotherm; Volumetric flow rate; Adsorption; Detection limit; Mechanics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004103226,0.0003167588,0.0006302195,0.00007101957,0.0002290316,0.00006412391,0.0002105752,0.0002050334,0.000223132],"category_scores_gemma":[0.0001677175,0.0003060377,0.0002985683,0.001114108,0.0002804124,0.0004401134,0.0001603002,0.0003462337,0.00005720019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003413574,"about_ca_system_score_gemma":0.00005373222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002374101,"about_ca_topic_score_gemma":0.0003144901,"domain_scores_codex":[0.9976162,0.0000811268,0.0005243018,0.0007149055,0.0006030902,0.0004603938],"domain_scores_gemma":[0.9985946,0.0001055505,0.0003452044,0.0005300604,0.0002723351,0.0001522248],"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":[0.0001525599,0.0001583265,0.0003519005,0.00005505467,0.0002443388,0.000006752894,0.00005323986,0.1044574,0.894128,0.000002782283,0.00000542156,0.0003842708],"study_design_scores_gemma":[0.000431374,0.00007947881,0.002329653,0.0000544043,0.0003994118,0.00001544044,0.00009450035,0.0690754,0.927123,0.0001082677,0.00001372309,0.0002753162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804979,0.00008090273,0.1185999,0.0002267124,0.0001454816,0.000145261,0.00002843241,0.0001443619,0.0001310537],"genre_scores_gemma":[0.9951915,0.00000686066,0.004225085,0.00001441859,0.00004095233,0.000005950688,0.00001387855,0.00002439521,0.0004769896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146936,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228652839145818,"score_gpt":0.2627650347542268,"score_spread":0.2504785063627686,"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."}}