{"id":"W4312140550","doi":"10.3390/foods11244111","title":"Progress in Extrusion-Based Food Printing Technology for Enhanced Printability and Printing Efficiency of Typical Personalized Foods: A Review","year":2022,"lang":"en","type":"review","venue":"Foods","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"3D printing; Personalization; Scope (computer science); Inkwell; Process engineering; Manufacturing engineering; Digital printing; Recipe; Computer science; Engineering; Engineering drawing; Mechanical engineering; Food science; World Wide Web","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":[0.000640803,0.001104803,0.00130031,0.003413443,0.0003144245,0.001034929,0.0006919509,0.0008893082,0.00371059],"category_scores_gemma":[0.000739066,0.0005013215,0.0008590631,0.003540526,0.0003168611,0.00155464,0.0005648235,0.001166648,0.001610873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003669508,"about_ca_system_score_gemma":0.001019289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008947797,"about_ca_topic_score_gemma":0.001434563,"domain_scores_codex":[0.9997355,0.00003301843,0.00004359139,0.00005827402,0.0001064642,0.00002309646],"domain_scores_gemma":[0.9995095,0.0002673265,0.00008012585,0.0000142111,0.0001068939,0.00002200468],"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":[0.00005884673,0.0001320497,0.0002544525,0.07590131,0.0001496032,0.000323534,0.0001102554,0.0008553138,0.009998326,0.004988973,0.01520652,0.8920208],"study_design_scores_gemma":[0.00001124505,0.0002023633,0.0009393234,0.004974611,0.000251419,0.001127888,0.00007218391,0.0002640131,0.003940097,0.001247086,0.9869317,0.00003796181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003828538,0.9973485,0.000450083,0.0001111,0.0001462997,0.000008675875,0.00003153242,0.00001261331,0.001508172],"genre_scores_gemma":[0.0009831121,0.9978235,0.0004950324,0.00008104683,0.00006347574,0.000008473678,0.00003572533,0.000002238761,0.0005074312],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00371059,"threshold_uncertainty_score":0.0124132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202603243504498,"score_gpt":0.3163555076899551,"score_spread":0.2743294752549101,"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."}}