{"id":"W4411972423","doi":"10.3389/frfst.2025.1607449","title":"Emerging advancements in 3D food printing","year":2025,"lang":"en","type":"article","venue":"Frontiers in Food Science and Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"3D printing; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003162413,0.0001220869,0.0001776309,0.002013637,0.0001013901,0.00002513587,0.0004419019,0.0001240887,0.000001048938],"category_scores_gemma":[0.0003028558,0.00012925,0.000009270507,0.002280839,0.0005176186,0.0001594958,0.0003142831,0.0003423123,7.979924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334204,"about_ca_system_score_gemma":0.00003188081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001919793,"about_ca_topic_score_gemma":0.0000199331,"domain_scores_codex":[0.9989434,0.000005058353,0.000192737,0.0003219233,0.0001022834,0.0004346053],"domain_scores_gemma":[0.9996832,0.000013044,0.00002372007,0.0002355185,0.00002921949,0.00001529993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002691601,0.00002013132,0.105475,0.00006301861,0.00001738884,0.000005533778,0.0001156503,0.0006722065,0.00139194,0.01140308,0.0002798676,0.8805535],"study_design_scores_gemma":[0.002004602,0.0004620673,0.0456574,0.0008507226,0.00001323257,0.00001153303,0.007974534,0.05974066,0.561287,0.2796668,0.04122818,0.00110324],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782778,0.00113038,0.01577786,0.0004632507,0.0005773444,0.0001475408,0.000001322557,0.000684517,0.002940008],"genre_scores_gemma":[0.9841242,0.0001363826,0.01565752,0.00001513367,0.000003702505,0.00003623091,2.631317e-7,0.000006632157,0.00001990536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8794503,"threshold_uncertainty_score":0.5270662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006551389040111767,"score_gpt":0.2236122436549037,"score_spread":0.2170608546147919,"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."}}