{"id":"W240095210","doi":"10.1097/opx.0000000000000618","title":"Competitive Effects from an Artificial Tear Solution to Protein Adsorption","year":2015,"lang":"en","type":"article","venue":"Optometry and Vision Science","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Lysozyme; Chemistry; Protein adsorption; Ionic strength; Silicone hydrogel; Albumin; Contact lens; Chromatography; Biophysics; Chemical engineering; Biochemistry; Organic chemistry; Aqueous solution; Biology; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006697044,0.00008057304,0.0001340303,0.000206659,0.0001192875,0.00008379283,0.00008141747,0.00004679965,0.00001585881],"category_scores_gemma":[0.0002968064,0.0000653367,0.0000188685,0.0007616075,0.0001269505,0.000436279,0.0000688268,0.00009365129,0.0001426223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520258,"about_ca_system_score_gemma":0.0000862931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005697127,"about_ca_topic_score_gemma":0.000004602553,"domain_scores_codex":[0.9988225,0.00004499775,0.0001058427,0.0003378706,0.0005020847,0.000186722],"domain_scores_gemma":[0.9991622,0.00002530345,0.00003110258,0.0001995899,0.0001691767,0.0004126447],"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":[0.0002036912,0.0001136373,0.0106327,0.00001082069,0.000002838715,0.000006974766,0.0004926617,0.000001902829,0.9646738,0.0009491671,0.00001153699,0.02290026],"study_design_scores_gemma":[0.001132895,0.003108161,0.4325567,0.0003893317,0.00003044134,0.000005184854,0.001171843,0.004192281,0.5541595,0.0003904287,0.002611916,0.0002513159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941371,0.00005442887,0.003881122,0.0005807154,0.0001557303,0.0003572986,0.000003470124,0.00003561524,0.0007945275],"genre_scores_gemma":[0.9964377,0.000001939396,0.003031495,0.0003347924,0.00009572806,0.000006656409,0.000005794669,0.000004693833,0.00008116844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4219241,"threshold_uncertainty_score":0.2664353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157718788716876,"score_gpt":0.4021015606109789,"score_spread":0.3805243727238101,"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."}}