{"id":"W2770163336","doi":"10.1111/joss.12300","title":"Comparing preferred attribute elicitation to trained panelists' evaluations using a novel food product","year":2017,"lang":"en","type":"article","venue":"Journal of Sensory Studies","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Acadia University","funders":"","keywords":"Sensory analysis; Descriptive statistics; Product (mathematics); Mathematics; Statistics; Computer science; Food science; Chemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001085545,0.0001345912,0.0004758606,0.00002905595,0.001353797,0.00019901,0.0002832775,0.00003043024,0.00002256243],"category_scores_gemma":[0.006203803,0.00005397831,0.0001500691,0.00009385984,0.0001149488,0.00022962,0.00008984125,0.0001300261,0.000002141959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005184799,"about_ca_system_score_gemma":0.000009561095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003021068,"about_ca_topic_score_gemma":0.0002187623,"domain_scores_codex":[0.9985983,0.0001465664,0.0005160874,0.000187655,0.0003570227,0.0001943691],"domain_scores_gemma":[0.9976737,0.0005029091,0.0007221107,0.000116139,0.0008795907,0.0001055898],"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":[0.0001672705,0.0001964956,0.01525031,0.00002457202,0.0007779822,0.0000094066,0.001769335,0.001509674,0.9341651,0.0004121389,0.0002172849,0.04550047],"study_design_scores_gemma":[0.0003952171,0.0005284924,0.9870818,0.0001133772,0.0003141681,0.00003066065,0.004018123,0.001457583,0.004421619,0.0008107155,0.0006234936,0.0002047951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945304,0.0002075828,0.001218402,0.003457736,0.0003156462,0.0001381441,0.00002906617,0.000007267302,0.00009576108],"genre_scores_gemma":[0.9807341,0.00003723841,0.01852037,0.00008630406,0.0005525553,0.000001950256,0.000001425587,0.00000115291,0.00006486938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9718314,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.607617147234339,"score_gpt":0.4623746783756958,"score_spread":0.1452424688586432,"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."}}