{"id":"W1834676530","doi":"10.3390/s151026236","title":"Protein Adsorption in Microengraving Immunoassays","year":2015,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Adsorption; Chemistry; Chromatography; Computational biology; Biology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008763583,0.000577136,0.0006038886,0.0004538591,0.0003397438,0.0006522537,0.0006427073,0.0007251526,0.0004300292],"category_scores_gemma":[0.001101868,0.0004087314,0.0003439519,0.0005074264,0.0003950372,0.0007533582,0.0003787969,0.000884648,0.0003906396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006452469,"about_ca_system_score_gemma":0.0002701199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000673598,"about_ca_topic_score_gemma":0.0008651979,"domain_scores_codex":[0.9988049,0.0002626122,0.00005756399,0.0002187715,0.0005405773,0.0001155896],"domain_scores_gemma":[0.9992294,0.0004756747,0.0000867159,0.00004827581,0.0001210174,0.00003887403],"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":[0.0000306719,0.00002416885,0.0002733689,0.00005313475,0.000004622663,0.0000213898,0.00002522492,0.0003070818,0.9953785,0.0001980233,0.00005510643,0.003628739],"study_design_scores_gemma":[0.000003753594,0.00008955542,0.001248801,0.000004973638,0.000006383781,0.00008996125,0.00002226608,0.009518201,0.98763,0.0001405493,0.001233136,0.00001243288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6832516,0.006256917,0.3053978,0.0004757958,0.000208237,0.0002443667,0.0002510899,0.0008773863,0.003036806],"genre_scores_gemma":[0.8547592,0.003974172,0.1353566,0.0002856066,0.00005851161,0.0003003955,0.0002730433,0.00008775687,0.004904809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008763583,"threshold_uncertainty_score":0.004681647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699273628819686,"score_gpt":0.272411964990925,"score_spread":0.2554192287027281,"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."}}