{"id":"W2065120961","doi":"10.1016/j.colsurfb.2010.06.024","title":"An in situ study of protein adsorption on combinatorial Cu–Al films using spectroscopic ellipsometry","year":2010,"lang":"en","type":"article","venue":"Colloids and Surfaces B Biointerfaces","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Medtronic","keywords":"Adsorption; Protein adsorption; In situ; Ellipsometry; Materials science; Analytical Chemistry (journal); Copper; Oxide; Metal; Chemistry; Thin film; Sputter deposition; Chemical engineering; Chromatography; Sputtering; Nanotechnology; Organic chemistry; Metallurgy","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":[0.0001706081,0.0003190189,0.0001893121,0.0002070187,0.0002831481,0.0003772461,0.0003434303,0.0003398325,0.0007292385],"category_scores_gemma":[0.0002397392,0.0001876814,0.0001349186,0.0003265768,0.0002154891,0.0003419409,0.0002163167,0.0004768162,0.0001875607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253927,"about_ca_system_score_gemma":0.00009629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173003,"about_ca_topic_score_gemma":0.001356638,"domain_scores_codex":[0.999786,0.00003235513,0.000009918648,0.00005676044,0.00006400007,0.00005098771],"domain_scores_gemma":[0.9998316,0.0000602073,0.00003889976,0.00001917012,0.00003451666,0.00001559116],"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":[0.00002042204,0.000009645446,0.00003756879,0.00001058889,0.000001440987,0.000006771329,0.00001248817,0.00001801759,0.9994584,0.00001721823,0.00001001076,0.0003975541],"study_design_scores_gemma":[0.000001857854,0.00003432544,0.0004940045,7.377524e-7,0.000003101868,0.00001435859,0.00001658201,0.0005815647,0.9986545,0.000006914669,0.0001898968,0.00000210356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942199,0.0004383916,0.004106564,0.00003463702,0.0000175112,0.00001227938,0.00008231829,0.00005532368,0.001033002],"genre_scores_gemma":[0.9946446,0.0002865025,0.00351922,0.00002910472,0.000006927872,0.00001267552,0.00005712176,0.00001691098,0.001427057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001173003,"threshold_uncertainty_score":0.002439499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903874340497011,"score_gpt":0.3018799773303505,"score_spread":0.2828412339253804,"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."}}