{"id":"W4282922834","doi":"10.1111/1541-4337.12984","title":"Defects in 3D/4D food printing and their possible solutions: A comprehensive review","year":2022,"lang":"en","type":"review","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"3D printing; 3d printed; Computer science; Quality (philosophy); Biochemical engineering; Process engineering; Risk analysis (engineering); Manufacturing engineering; Business; Engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007897004,0.0009392864,0.001233033,0.003157216,0.0003182486,0.001258044,0.000832808,0.001115153,0.005113416],"category_scores_gemma":[0.001292228,0.0003932135,0.001157545,0.002204871,0.0003388242,0.001392053,0.0006305997,0.0009529278,0.001339985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00048369,"about_ca_system_score_gemma":0.001494341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349011,"about_ca_topic_score_gemma":0.002351042,"domain_scores_codex":[0.9996456,0.00005520666,0.00006943651,0.00005808253,0.0001414628,0.00003016585],"domain_scores_gemma":[0.9992521,0.0004101861,0.000122727,0.00001731271,0.000172786,0.0000248153],"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":[0.00007487197,0.00008183414,0.0003010795,0.08372609,0.0001898917,0.000355125,0.0001085341,0.0007023152,0.00357491,0.003449743,0.02106359,0.8863719],"study_design_scores_gemma":[0.00001431529,0.0001878986,0.0009913046,0.01532192,0.0005507545,0.002039567,0.0001259866,0.0002297532,0.002154006,0.00164939,0.9766963,0.00003893894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001990767,0.9986693,0.0001858613,0.0001291211,0.0001186896,0.000006488812,0.00002842279,0.00000722121,0.0006558435],"genre_scores_gemma":[0.0009184011,0.9981965,0.0002542525,0.000111175,0.00005666982,0.000007143989,0.00004160419,0.00000195051,0.000412213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005113416,"threshold_uncertainty_score":0.01710612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191606687438976,"score_gpt":0.3089484633153528,"score_spread":0.1897877945714551,"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."}}