{"id":"W4386565713","doi":"10.1016/j.foodqual.2023.104985","title":"Particle perception: Defining sensory thresholds for grittiness of upcycled apple pomace powders","year":2023,"lang":"en","type":"article","venue":"Food Quality and Preference","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vineland Research and Innovation Centre","funders":"Agriculture and Agri-Food Canada","keywords":"Population; Particle size; Food science; Pomace; Perception; Particle (ecology); Detection threshold; Mathematics; Statistics; Computer science; Psychology; Chemistry; Engineering; Biology; Medicine; Chemical engineering; Environmental health; Ecology","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":[0.0005816133,0.000280382,0.000186361,0.0003589364,0.0001663167,0.0005756003,0.0002148031,0.0003623663,0.001653644],"category_scores_gemma":[0.001265391,0.0001431297,0.0002796961,0.0001986994,0.0002719546,0.0004362435,0.0003229592,0.0004682029,0.0001457734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364267,"about_ca_system_score_gemma":0.0001498113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002530497,"about_ca_topic_score_gemma":0.00263905,"domain_scores_codex":[0.9997662,0.00003317176,0.00001133505,0.00006275732,0.00009003134,0.00003659753],"domain_scores_gemma":[0.9996327,0.0001644053,0.00004944926,0.00001587645,0.00006993004,0.00006759802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002490244,0.0001167698,0.01125641,0.0001226883,0.00002338241,0.00007304549,0.0001849794,0.000180051,0.9761844,0.0001012294,0.00007970286,0.009187091],"study_design_scores_gemma":[0.00004548252,0.002508131,0.5782977,0.00001625077,0.00005936262,0.0004469166,0.0004809532,0.003038538,0.4144155,0.0001540627,0.0005091779,0.00002790917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957969,0.0001710994,0.003278585,0.00001259142,0.000007422902,0.000034594,0.0001239295,0.00001381899,0.0005610571],"genre_scores_gemma":[0.9971419,0.00008274276,0.002033585,0.00003201502,0.000003947448,0.0000233901,0.0001635477,0.00000924526,0.0005096183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530497,"threshold_uncertainty_score":0.005531967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3178060027033803,"score_gpt":0.3768425675295355,"score_spread":0.05903656482615521,"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."}}