{"id":"W4404418369","doi":"10.3390/su16229963","title":"Generative AI for Consumer Behavior Prediction: Techniques and Applications","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"AI in Service Interactions","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Generative grammar; Artificial intelligence; Computer science; Machine learning","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":[0.001429561,0.0007542993,0.0006248743,0.001025808,0.0002163016,0.0008881163,0.001138781,0.000837785,0.002195822],"category_scores_gemma":[0.004976109,0.0004710573,0.0008624413,0.001218178,0.0007561698,0.001025183,0.0007995763,0.001961825,0.0005230341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007972847,"about_ca_system_score_gemma":0.0004929455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424236,"about_ca_topic_score_gemma":0.004276555,"domain_scores_codex":[0.9994455,0.0002695619,0.0000232264,0.0001114108,0.0001225282,0.0000277796],"domain_scores_gemma":[0.9966189,0.002948501,0.0001054336,0.0001444807,0.0001481947,0.00003458962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004006134,0.00007500815,0.003093571,0.0003968192,0.0001951446,0.0001065083,0.000186559,0.752306,0.001144799,0.07559259,0.004431457,0.1624315],"study_design_scores_gemma":[0.000003659612,0.00001360149,0.0003761264,0.00003957695,0.00001378787,0.00003661142,0.00001551442,0.9513777,0.0002764771,0.0450912,0.002743559,0.00001208708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008698813,0.008776629,0.9725556,0.001620618,0.0001066497,0.00005787893,0.0002709926,0.0006410292,0.007271822],"genre_scores_gemma":[0.6979901,0.02077597,0.2712997,0.00109775,0.0005350162,0.0003104263,0.0008906555,0.0002282196,0.006872103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005424236,"threshold_uncertainty_score":0.01078534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039153003141376,"score_gpt":0.3317007625738103,"score_spread":0.3213092325423965,"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."}}