{"id":"W4409720749","doi":"10.1145/3706599.3720180","title":"BakeEase: Redefining Baking Experiences with AI-Powered Multimodal Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Systems engineering; Engineering","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":[0.001301963,0.0006964974,0.0002998924,0.0004863799,0.002389661,0.004355375,0.001341707,0.001443585,0.02769458],"category_scores_gemma":[0.00618954,0.0002781707,0.0004570244,0.0003733416,0.003099678,0.005631832,0.006853917,0.001650779,0.002903227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007557257,"about_ca_system_score_gemma":0.0008197731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286582,"about_ca_topic_score_gemma":0.004593517,"domain_scores_codex":[0.998947,0.0005206486,0.00002764283,0.0001255286,0.0001963151,0.0001828604],"domain_scores_gemma":[0.998368,0.0008621021,0.00006966706,0.0002869616,0.0001743469,0.0002389783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0016391,0.0006217139,0.005377728,0.001788417,0.0001047742,0.001601199,0.2934004,0.009430968,0.1019703,0.2339103,0.03970314,0.310452],"study_design_scores_gemma":[0.0001324987,0.0007799427,0.006353998,0.000792485,0.0001614538,0.001758919,0.1557987,0.03454339,0.04740124,0.1215819,0.630368,0.0003275779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4128589,0.001306464,0.3631023,0.003758164,0.0005852848,0.0003470642,0.000411162,0.006004595,0.2116261],"genre_scores_gemma":[0.8839759,0.0004267373,0.06611063,0.0004590598,0.00003151353,0.0001719592,0.0003060655,0.0007425427,0.04777565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02769458,"threshold_uncertainty_score":0.09264761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009995086443970295,"score_gpt":0.2765881217510552,"score_spread":0.2665930353070849,"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."}}