{"id":"W3201403997","doi":"10.1002/smll.202101171","title":"Nanomaterials in Smart Packaging Applications: A Review","year":2021,"lang":"en","type":"review","venue":"Small","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Food packaging; Active packaging; Nanotechnology; Food quality; Quality (philosophy); Computer science; Food industry; Nanomaterials; Process engineering; Biochemical engineering; Materials science; Risk analysis (engineering); Business; Engineering; Chemistry; Mechanical engineering","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":[0.0004804165,0.001138479,0.001003182,0.002450082,0.0003833179,0.001103314,0.0007521051,0.0011948,0.005136506],"category_scores_gemma":[0.0006674643,0.0004116716,0.0006487778,0.002554498,0.0002718178,0.001505804,0.0007009746,0.001220534,0.002424602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677126,"about_ca_system_score_gemma":0.001124907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008430005,"about_ca_topic_score_gemma":0.001441636,"domain_scores_codex":[0.9997786,0.00002667193,0.00003018207,0.00004482634,0.00009684604,0.00002292951],"domain_scores_gemma":[0.9996663,0.0001602436,0.00005254298,0.00001002218,0.00008800746,0.00002278815],"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":[0.0000357094,0.0000990067,0.0001973431,0.03943833,0.00007287344,0.0002711825,0.0001011475,0.0005629588,0.006467624,0.005168541,0.03325092,0.9143344],"study_design_scores_gemma":[0.000004554438,0.00008913838,0.0003883692,0.003577924,0.00009181659,0.000749043,0.00004858689,0.0001118775,0.001188424,0.001148492,0.992584,0.00001782015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002866746,0.9966201,0.0002850381,0.0002047796,0.0003418354,0.00001072908,0.00003695802,0.00001415817,0.002199733],"genre_scores_gemma":[0.000886421,0.9974549,0.0003711089,0.0001490714,0.0001470572,0.00001190938,0.00004301704,0.000002291438,0.000934247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005136506,"threshold_uncertainty_score":0.01718336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04412105962823384,"score_gpt":0.3054517159252598,"score_spread":0.261330656297026,"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."}}