{"id":"W4211095815","doi":"10.1111/joss.12735","title":"Apple flavor and its effects on sensory characteristics and consumer preference","year":2022,"lang":"en","type":"article","venue":"Journal of Sensory Studies","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Vineland Research and Innovation Centre","funders":"","keywords":"Flavor; Preference; Taste; Perception; Sensory system; Variety (cybernetics); Sensory analysis; Food science; Marketing; Psychology; Mathematics; Business; Cognitive psychology; Biology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007449481,0.0001818445,0.0001493479,0.0004091823,0.0002648212,0.0007064891,0.0001071275,0.0001554335,0.002732349],"category_scores_gemma":[0.001475735,0.0001027807,0.0002554169,0.0003882765,0.0002834709,0.0002251004,0.0002830253,0.0002908394,0.0001132717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004437366,"about_ca_system_score_gemma":0.0002384019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009206012,"about_ca_topic_score_gemma":0.02019006,"domain_scores_codex":[0.9997517,0.00007091457,0.00001295484,0.00003450366,0.0001004204,0.00002937838],"domain_scores_gemma":[0.9989889,0.0003666024,0.0002109346,0.00004599081,0.0002879161,0.00009966346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005340808,0.0007446998,0.7197375,0.0002740914,0.0002431477,0.0003369542,0.001425126,0.0004160194,0.2400413,0.0001805336,0.0003682204,0.03089152],"study_design_scores_gemma":[0.000004962884,0.0004025841,0.9956309,0.000004700208,0.00002496082,0.0000453797,0.0003391154,0.0002315988,0.003131898,0.00003164743,0.0001468675,0.000005520712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989758,0.00007740605,0.0001089284,0.000008561988,0.000002230848,0.00001010132,0.00007001201,0.000002948046,0.0007440306],"genre_scores_gemma":[0.9990624,0.00005113267,0.0002311539,0.00001161561,0.000001561578,0.000005588297,0.00007365568,0.000002268,0.0005607463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009206012,"threshold_uncertainty_score":0.01830482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181901074026932,"score_gpt":0.3143182515973139,"score_spread":0.1961281441946207,"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."}}