{"id":"W4293386314","doi":"10.1016/j.talanta.2022.123881","title":"Highly TVB-N sensitive film with CMS as the ‘bridge’ via electrostatic interaction and hydrogen bond self-assembly for monitoring food freshness in intelligent packaging","year":2022,"lang":"en","type":"article","venue":"Talanta","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Wuhan University; National Natural Science Foundation of China","keywords":"Chemistry; Bridge (graph theory); Food packaging; Hydrogen bond; Nanotechnology; Food science; Molecule; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005032398,0.0002264499,0.000248193,0.000152213,0.0004509174,0.0001460588,0.0002243682,0.0000284545,0.00001043044],"category_scores_gemma":[0.00001405337,0.0001829158,0.00004009619,0.0002883212,0.00003890846,0.0002738255,0.0002190872,0.000256249,0.00001436621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686121,"about_ca_system_score_gemma":0.00006089125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003813822,"about_ca_topic_score_gemma":0.0001611597,"domain_scores_codex":[0.998339,0.0001386346,0.0002829961,0.0004399575,0.0003222117,0.0004771822],"domain_scores_gemma":[0.9991346,0.0003047377,0.0001809031,0.0002604697,0.00004969225,0.00006959379],"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":[0.0004013663,0.000093228,0.004331047,0.00006057312,0.000059951,0.00005171505,0.008415807,0.0007568702,0.9851582,0.0001583774,0.00007372848,0.0004391581],"study_design_scores_gemma":[0.0005996339,0.0009373907,0.001480834,0.00007462143,0.00005967548,0.0005125467,0.002835277,0.002620188,0.989893,0.0002161974,0.0004906317,0.0002800341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977875,0.0001152385,0.0003445884,0.0002736692,0.0003191172,0.0008461652,0.00006543028,0.0001080579,0.0001402733],"genre_scores_gemma":[0.9991484,0.000009239646,0.0003072075,0.0000906968,0.0000912983,0.0002369255,0.00003731837,0.00004712376,0.00003177601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00558053,"threshold_uncertainty_score":0.7459089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081596923531417,"score_gpt":0.2490362386552426,"score_spread":0.2382202694199285,"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."}}