{"id":"W4392615837","doi":"10.1021/acs.analchem.3c05190","title":"3D Printing Technology: Role in Safeguarding Food Security","year":2024,"lang":"en","type":"review","venue":"Analytical Chemistry","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Safeguarding; Food security; Food packaging; Agriculture; Risk analysis (engineering); 3D printing; Wearable computer; Food safety; Computer security; Business; Computer science; Engineering; Embedded system; Medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000181145,0.0005353731,0.001220628,0.0003034853,0.00003479784,0.00006972937,0.0005615986,0.001060115,0.00005538929],"category_scores_gemma":[0.0002662982,0.0004809787,0.0003493701,0.0007912888,0.0001280711,0.00003436534,0.000509203,0.002424228,0.0001500755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747317,"about_ca_system_score_gemma":0.00004505092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001246168,"about_ca_topic_score_gemma":9.265268e-7,"domain_scores_codex":[0.9981751,0.0000102833,0.0005711453,0.0005557436,0.0001494638,0.000538305],"domain_scores_gemma":[0.9992139,0.0001042344,0.0000603341,0.0005478221,0.00001606394,0.00005758634],"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":[4.832201e-7,0.00002041512,0.000009906887,0.04113534,0.0004455717,0.0001121566,0.00001844755,0.00002775982,0.000003355542,0.0006458996,0.0004811103,0.9570996],"study_design_scores_gemma":[0.00005573156,0.000009537085,5.035531e-7,0.0145518,0.0005757979,0.00006322756,0.00008620326,0.002318753,0.001534617,0.005257491,0.9747921,0.0007542424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005357333,0.978898,0.00004605673,0.00002021876,0.00007801711,0.0001342849,0.00003118118,0.002542497,0.01771396],"genre_scores_gemma":[0.02462796,0.9744999,0.0002814935,0.000001783416,0.000167493,0.00007386612,0.00003287234,0.0001162893,0.0001982797],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.974311,"threshold_uncertainty_score":0.9998772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772768413323145,"score_gpt":0.2724326275450445,"score_spread":0.254704943411813,"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."}}