{"id":"W4220679392","doi":"10.3390/foods11060809","title":"Effect of Labelling and Information on Consumer Perception of Foods Presented as 3D Printed","year":2022,"lang":"en","type":"article","venue":"Foods","topic":"Color perception and design","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"LOEWE Zentrum AdRIA; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Labelling; Perception; Food science; Business; Food labelling; 3d printed; Food labeling; Advertising; Marketing; Consumer information; Psychology; Chemistry; Engineering; Biochemistry; Manufacturing engineering; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002750896,0.000340159,0.0002599714,0.0002535015,0.000230278,0.0008216258,0.0001941191,0.0006601526,0.004614949],"category_scores_gemma":[0.01284303,0.000243921,0.0006442398,0.0001539741,0.0004307506,0.0005869536,0.0005139266,0.0007858048,0.0002602065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312114,"about_ca_system_score_gemma":0.0002514681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019294,"about_ca_topic_score_gemma":0.001016052,"domain_scores_codex":[0.998276,0.0008140742,0.0001049704,0.0001532415,0.000539278,0.0001123608],"domain_scores_gemma":[0.981374,0.01420603,0.00245541,0.0004728395,0.0008451564,0.0006466562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1239603,0.03774097,0.2161329,0.003562479,0.0009510653,0.001100909,0.02811465,0.00177525,0.3743422,0.001080774,0.001915774,0.2093228],"study_design_scores_gemma":[0.001827285,0.08121799,0.8665715,0.0003673651,0.001033116,0.0004758104,0.007012109,0.003826213,0.03233013,0.0008533093,0.004240255,0.0002449126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983753,0.00006620262,0.0002223203,0.00006368831,0.00001286121,0.00003332775,0.00001727778,0.00001175144,0.001197346],"genre_scores_gemma":[0.9961039,0.0001453562,0.002289044,0.0001652287,0.00002233025,0.00009063281,0.00005239954,0.00001190808,0.001119325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004614949,"threshold_uncertainty_score":0.01543856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640268069807007,"score_gpt":0.3247840654878535,"score_spread":0.3083813847897835,"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."}}