{"id":"W2613771958","doi":"10.1002/cjce.22891","title":"Bioscouring and bleaching of knitted cotton fabrics in one‐step process using enzymatically generated hydrogen peroxide","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrogen peroxide; Pectinase; Chemistry; Peroxide; Glucose oxidase; Cellulose; Chemical engineering; Textile; Lipase; Pulp and paper industry; Polymer chemistry; Nuclear chemistry; Materials science; Organic chemistry; Composite material; Enzyme","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000366599,0.0001480927,0.0002845863,0.0001947769,0.00009474395,0.00009803491,0.0003634138,0.00009724645,0.000003625596],"category_scores_gemma":[0.0003153587,0.000136702,0.000047338,0.00009431844,0.00009100956,0.0001591449,0.0000199049,0.0004608025,5.536226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652956,"about_ca_system_score_gemma":0.0001399007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006883499,"about_ca_topic_score_gemma":0.0001832236,"domain_scores_codex":[0.9990608,0.00001084665,0.0003841761,0.00008149294,0.000151345,0.0003113792],"domain_scores_gemma":[0.9992976,0.00005184318,0.0001219174,0.000196836,0.00006634842,0.0002654852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004970502,0.000004850804,0.0004819934,0.0002325057,0.00006890601,0.00003138031,0.0008694966,0.3979981,0.5994732,0.00005383852,0.000007454275,0.0007732223],"study_design_scores_gemma":[0.0003981522,0.00001216023,0.0003377745,0.0008329451,0.00004827501,0.0001110834,0.0000373705,0.645716,0.3522058,0.00006617208,0.0000329269,0.0002013524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980473,0.0003243972,0.001320396,0.00006230448,0.00009741716,0.00005741854,0.000004098131,0.00001883494,0.00006786914],"genre_scores_gemma":[0.9973608,0.000005484614,0.002501956,0.000008121545,0.00008232761,8.879413e-7,7.789045e-7,0.00003775581,0.000001915694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2477179,"threshold_uncertainty_score":0.5574547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076544996038802,"score_gpt":0.217712841604794,"score_spread":0.1969473916444059,"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."}}