{"id":"W3025802663","doi":"10.1002/pts.2509","title":"Preparation, characterization, and morphology of on/off detection indicator based on rhodamine 6G‐adamantanamine loaded onto nonwoven polyethylene terephthalate","year":2020,"lang":"en","type":"article","venue":"Packaging Technology and Science","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Rhodamine 6G; Polyethylene terephthalate; Fluorescence; Materials science; Polyethylene; Food packaging; Nonwoven fabric; Chemical engineering; Rhodamine B; Polyelectrolyte; Dyeing; Composite material; Chemistry; Polymer; Organic chemistry; Optics; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008262,0.0004625158,0.0002315758,0.0003083281,0.0001123935,0.000334153,0.0003312278,0.0004705538,0.0004881072],"category_scores_gemma":[0.0002682546,0.0002157056,0.0002452853,0.00020838,0.0001966613,0.0003945843,0.0002074888,0.0004091762,0.0003139895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293501,"about_ca_system_score_gemma":0.00009842699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002478342,"about_ca_topic_score_gemma":0.0003061952,"domain_scores_codex":[0.9998562,0.00001466121,0.00001198462,0.00003799334,0.00005492345,0.00002415455],"domain_scores_gemma":[0.9998268,0.00002653125,0.00005749976,0.0000206792,0.00004251354,0.00002595153],"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":[0.00001227553,0.000006344161,0.0000500714,0.00001938695,0.000001340397,0.00003262807,0.00001331579,0.00002559434,0.9992907,0.0000199767,0.000006905344,0.0005214582],"study_design_scores_gemma":[0.00000199671,0.00008924461,0.0008931847,0.000002475416,0.000004870158,0.0000780369,0.00001177898,0.0005661386,0.99782,0.000008685184,0.0005192341,0.000004292276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824802,0.0007468653,0.01504959,0.00006325468,0.00002891267,0.00006896156,0.0001247276,0.0001532489,0.001284299],"genre_scores_gemma":[0.9653637,0.001420184,0.02740667,0.00007956555,0.0000180528,0.000109283,0.0004265249,0.0001035806,0.005072449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004881072,"threshold_uncertainty_score":0.001632869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008850783274573915,"score_gpt":0.2442885787701821,"score_spread":0.2354377954956082,"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."}}