{"id":"W6931764873","doi":"10.5683/sp3/4ra3kt","title":"Market validation through customer-focused sensory analysis of functional bakery goods","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Product (mathematics); Consumption (sociology); Taste; Market research; Consumer behaviour; Sensory analysis; Production (economics); Product testing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002592972,0.001684364,0.0009038248,0.003110169,0.0006784316,0.001904234,0.001898623,0.001654741,0.0142565],"category_scores_gemma":[0.005133546,0.0002705865,0.001690099,0.002101671,0.0004015484,0.001408652,0.002104607,0.001242469,0.02145356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296009,"about_ca_system_score_gemma":0.001057674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398039,"about_ca_topic_score_gemma":0.05137645,"domain_scores_codex":[0.9977756,0.0004080281,0.0002116489,0.0005477187,0.0007777467,0.0002792902],"domain_scores_gemma":[0.9972609,0.0005316352,0.0002015425,0.0005343027,0.001313439,0.0001582109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002015947,0.001032315,0.0331197,0.00399105,0.0003099271,0.0005168702,0.0004128889,0.002706723,0.006150968,0.001765951,0.8616444,0.08633321],"study_design_scores_gemma":[0.0005725044,0.0006702337,0.192714,0.0009215814,0.0002685008,0.000926648,0.002067199,0.01791742,0.007442465,0.002422591,0.7738413,0.00023552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02825263,0.0006754539,0.001979908,0.0003687761,0.0002032163,0.0002623087,0.9571455,0.001775016,0.00933731],"genre_scores_gemma":[0.0151034,0.0001630888,0.003404922,0.0001683437,0.0000166352,0.0003866801,0.9771767,0.0001094066,0.003470691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02398039,"threshold_uncertainty_score":0.04769278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122115141376925,"score_gpt":0.2885963524491142,"score_spread":0.2473752010353449,"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."}}