{"id":"W4405173008","doi":"10.1016/j.tifs.2024.104835","title":"Organic nanomaterials applied to the manufacturing of personalized future 3D-printed foods: A review","year":2024,"lang":"en","type":"review","venue":"Trends in Food Science & Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"3d printed; Nanomaterials; 3D printing; Manufacturing engineering; Nanotechnology; Business; Engineering; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009094487,0.0006997296,0.002020158,0.003767359,0.0001214892,0.00006240925,0.003161537,0.0005779574,0.0001441591],"category_scores_gemma":[0.0001646725,0.000454227,0.0002518465,0.006116655,0.00085649,0.00005659823,0.001299974,0.001089047,0.0001302587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003317652,"about_ca_system_score_gemma":0.0001127237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001209237,"about_ca_topic_score_gemma":0.00001442194,"domain_scores_codex":[0.9969408,0.00004148093,0.0009688241,0.0009121703,0.0003512411,0.0007855071],"domain_scores_gemma":[0.9981697,0.00006426701,0.0002303107,0.00144267,0.00003683476,0.00005623229],"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":[0.000001124144,0.000009896999,4.938688e-8,0.01095084,0.00007840036,0.000007896272,0.00006844688,0.00000937237,0.00009055928,0.002269521,0.0005272444,0.9859866],"study_design_scores_gemma":[0.00007902778,0.0000996072,0.0000012864,0.0183034,0.0002723329,0.00009507313,0.0001151536,0.000007275544,0.01277145,0.0004958574,0.9672179,0.0005416776],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005369096,0.9940275,0.00008107673,0.0004689534,0.0008535512,0.0007312344,0.00006742295,0.002173612,0.00105975],"genre_scores_gemma":[0.0147491,0.9835489,0.0008811733,0.00002571,0.00008934302,0.0005144979,0.00001273194,0.00009443117,0.00008415926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.985445,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337510370732675,"score_gpt":0.3063260018445301,"score_spread":0.2725749647712626,"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."}}