{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386408,0.0002038873,0.0002968054,0.0007177338,0.0003687495,0.00005762851,0.0003946069,0.0001573618,0.00003034653],"category_scores_gemma":[0.0002677323,0.0001909185,0.00002122717,0.001185816,0.001175043,0.0002885404,0.0001719011,0.0002137445,0.00002001729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004021556,"about_ca_system_score_gemma":0.00007615527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009380429,"about_ca_topic_score_gemma":0.000003273167,"domain_scores_codex":[0.9981857,0.00005565058,0.000345279,0.0007466307,0.0003128532,0.0003538827],"domain_scores_gemma":[0.9990296,0.00007285558,0.0002912545,0.0003815336,0.00009262071,0.0001321114],"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":[0.0001196262,0.00003547192,0.01142504,0.00002461706,0.000003584412,0.000007804815,0.0002864671,0.00003334703,0.9851976,0.0006296547,0.000003273694,0.002233489],"study_design_scores_gemma":[0.0004719939,0.000837923,0.02157221,0.00005092779,0.000014148,0.00003919509,0.00004398969,0.007251633,0.969284,0.0001386896,0.0001153448,0.0001799511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907163,0.00005186937,0.005127372,0.003333102,0.000130778,0.0002836325,0.00002708368,0.0002134368,0.0001164423],"genre_scores_gemma":[0.9980135,0.000009484133,0.001340483,0.0005551287,0.000025232,0.00002019631,0.000008098001,0.00001261375,0.00001525223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591363,"threshold_uncertainty_score":0.7785432,"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."}}