{"id":"W2762857119","doi":"10.1139/cjc-2017-0304","title":"Quantitation of nonspecific protein adsorption at solid–liquid interfaces for single-cell proteomics","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Proteomics; Chemistry; Proteome; Adsorption; Protein adsorption; Solid surface; Nanotechnology; Chromatography; Biophysics; Biochemistry; Materials science; Organic chemistry; Chemical physics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002985113,0.001033071,0.0010026,0.001291033,0.0007410902,0.001374702,0.00123306,0.001003665,0.001369013],"category_scores_gemma":[0.001627955,0.0004734875,0.0005586887,0.001316593,0.000854616,0.001827672,0.0008260944,0.001768288,0.001352697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008951733,"about_ca_system_score_gemma":0.0008249065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009368575,"about_ca_topic_score_gemma":0.002820548,"domain_scores_codex":[0.9983835,0.0003325971,0.0001089179,0.0003455174,0.000706217,0.0001232016],"domain_scores_gemma":[0.9989562,0.0003664932,0.0001341062,0.0001491398,0.0003387294,0.00005537759],"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":[0.0000175815,0.00002559195,0.0004015872,0.0004189812,0.0000186799,0.00003630318,0.00004275864,0.0001407068,0.9896203,0.0008396675,0.0003843924,0.008053481],"study_design_scores_gemma":[0.000003561302,0.00009799413,0.002954605,0.00005257347,0.00003892777,0.0002132859,0.00008894057,0.004197087,0.9778895,0.001119567,0.01331279,0.00003116926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1159376,0.05793295,0.8114581,0.001628546,0.001014068,0.0004883126,0.002304688,0.001779065,0.007456675],"genre_scores_gemma":[0.3058433,0.0602703,0.6190535,0.001271595,0.0003453183,0.001085861,0.00328101,0.0005312338,0.008317937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002985113,"threshold_uncertainty_score":0.01578701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094911737799428,"score_gpt":0.2794203454688616,"score_spread":0.2384712280908673,"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."}}