{"id":"W4391929709","doi":"10.1111/1541-4337.13310","title":"3D/4D printed super reconstructed foods: Characteristics, research progress, and prospects","year":2024,"lang":"en","type":"article","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project","keywords":"3D printing; Process engineering; Computer science; Materials science; Engineering; Composite material","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":[0.000850357,0.0004721417,0.0004724796,0.001039684,0.000227172,0.001241249,0.0004132479,0.0008953336,0.00199295],"category_scores_gemma":[0.0006162308,0.0002892003,0.0006737274,0.0009759008,0.0003866529,0.001436047,0.0004361423,0.0009990861,0.0005982054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004693522,"about_ca_system_score_gemma":0.0006162364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006532083,"about_ca_topic_score_gemma":0.0009320909,"domain_scores_codex":[0.9997306,0.00003625794,0.00002718704,0.00005921716,0.0001123959,0.00003433501],"domain_scores_gemma":[0.9997203,0.00009547723,0.00005607312,0.00001485571,0.00008764709,0.00002569235],"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":[0.0002750861,0.0001851127,0.002761723,0.01993713,0.0001217961,0.002082286,0.0006355914,0.00500517,0.3168906,0.0234609,0.009630899,0.6190137],"study_design_scores_gemma":[0.00002560435,0.0009134921,0.004520053,0.001609956,0.0002746783,0.004713371,0.0006012417,0.004895611,0.2701951,0.008276252,0.7037905,0.0001841447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04162725,0.9271478,0.01385806,0.001609782,0.0006357109,0.00005063536,0.0002525778,0.0001084703,0.01470977],"genre_scores_gemma":[0.1327017,0.8413547,0.01679586,0.00087722,0.0003193094,0.00007033803,0.0004575235,0.00004696717,0.007376504],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00199295,"threshold_uncertainty_score":0.006667078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07317468871770447,"score_gpt":0.3204375854294289,"score_spread":0.2472628967117244,"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."}}