{"id":"W2588098184","doi":"10.1097/icl.0000000000000366","title":"A Review of Techniques to Measure Protein Sorption to Soft Contact Lenses","year":2017,"lang":"en","type":"review","venue":"Eye & Contact Lens Science & Clinical Practice","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Measure (data warehouse); Contact lens; Sorption; Lens (geology); In situ; Chemistry; Biological system; Materials science; Nanotechnology; Optics; Computer science; Physics; Biology; Data mining; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01835981,0.001014962,0.005983611,0.0006033223,0.0004654343,0.0002550861,0.001980877,0.0007538667,0.000140176],"category_scores_gemma":[0.1075889,0.0007841556,0.001866853,0.001371837,0.0004070954,0.001830431,0.0006470577,0.002358413,0.001190666],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000560623,"about_ca_system_score_gemma":0.007003646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000254685,"about_ca_topic_score_gemma":0.00003685072,"domain_scores_codex":[0.9893669,0.001306599,0.003686742,0.002119083,0.002393452,0.001127147],"domain_scores_gemma":[0.9860424,0.00211317,0.003629844,0.003871862,0.003167227,0.001175544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003436162,0.0006182105,0.00006548913,0.03093628,0.0002458921,0.0001554647,0.00004016954,1.311739e-8,0.0007337552,0.000374249,0.001169838,0.965317],"study_design_scores_gemma":[0.000305018,0.003618629,0.0001205904,0.2485351,0.002540457,0.00005570754,0.00002717164,3.802229e-7,0.000116331,0.000004394681,0.7440735,0.0006026968],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001281902,0.9721075,0.0004534498,0.006227789,0.0007187421,0.01099205,0.00006142881,0.0002142432,0.009096581],"genre_scores_gemma":[0.0005530543,0.9786162,0.004531273,0.01405353,0.0006384073,0.000502295,0.00002440861,0.0001192892,0.0009614756],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9647143,"threshold_uncertainty_score":0.9999432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2256323272773806,"score_gpt":0.5131539643795934,"score_spread":0.2875216371022127,"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."}}