{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108785,0.00009369128,0.00008291585,0.00007457435,0.0002015558,0.0002410831,0.0002185035,0.0000595926,0.0000107007],"category_scores_gemma":[0.0000477496,0.00008812658,0.00004783182,0.0002559574,0.0001070858,0.0006120718,0.0001376371,0.0001367145,0.00000390346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333165,"about_ca_system_score_gemma":0.0002883422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003228906,"about_ca_topic_score_gemma":0.00001225505,"domain_scores_codex":[0.9991283,0.00003485655,0.00016985,0.0004251723,0.00008449261,0.0001572965],"domain_scores_gemma":[0.9986394,0.0001835787,0.00002069808,0.0004419471,0.0006565183,0.00005786139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007366259,0.0001815371,0.00403879,0.0004459175,0.00003487169,0.00001309283,0.001328942,0.000007108594,0.0001768302,0.6241857,0.006732805,0.3628471],"study_design_scores_gemma":[0.00008782657,0.0001203971,0.001766077,0.00001405698,0.00004193613,0.00006954619,0.0003166893,0.01249323,0.00305744,0.1908794,0.7909732,0.0001801944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002484937,0.00041005,0.9828745,0.01092914,0.0001991716,0.001922015,0.00005680511,0.0007808168,0.0003425655],"genre_scores_gemma":[0.9016213,0.00003298964,0.07931016,0.0005904592,0.0004984871,0.01621399,0.00002537743,0.00002513056,0.001682133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9035643,"threshold_uncertainty_score":0.3593698,"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."}}