{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004231981,0.00008036442,0.0001546056,0.0001902052,0.00006175883,0.000005795107,0.00006707216,0.00005174106,0.004148217],"category_scores_gemma":[0.00004911564,0.00007610781,0.00004378382,0.0001799238,0.00005328386,0.0000838442,0.00004676707,0.0001379607,0.0000807896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473002,"about_ca_system_score_gemma":0.00001136432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008880167,"about_ca_topic_score_gemma":0.000001839794,"domain_scores_codex":[0.9990184,0.0003588326,0.000241086,0.0001072586,0.0001744188,0.0001000327],"domain_scores_gemma":[0.99947,0.0001626567,0.0001248431,0.0001708086,0.00004006654,0.00003163851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02288866,0.001642927,0.06995581,0.001206941,0.0008129177,0.0000108114,0.06402914,0.002091939,0.0920171,0.02015097,0.01552168,0.7096711],"study_design_scores_gemma":[0.02421569,0.07433699,0.5795419,0.0002214102,0.0004884368,0.0001888434,0.01411097,0.01890666,0.01627207,0.0003657647,0.2700938,0.001257417],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794731,0.00002346571,0.0005406892,0.00006006212,0.0002468721,0.000384556,0.00002063244,0.00003622461,0.01921442],"genre_scores_gemma":[0.9993301,0.00001082043,0.00008310509,0.00009965216,0.00001238198,0.00006209334,0.00003562197,0.000006861419,0.0003593471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084137,"threshold_uncertainty_score":0.9967621,"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."}}