{"id":"W4379208834","doi":"10.1002/cb.2185","title":"The road to learning “who am I” is digitized: A study on consumer self‐discovery through augmented reality tools","year":2023,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Netnography; Context (archaeology); Computer science; Data science; Self; Identity (music); Process (computing); Everyday life; Self driving; Psychology; World Wide Web; Epistemology; Social psychology; Aesthetics; Social media; Engineering; Art","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001679332,0.0003626333,0.0005133561,0.0004837819,0.0008881013,0.00227598,0.000649113,0.0001040228,0.0001551268],"category_scores_gemma":[0.0004430861,0.0002769046,0.0003359767,0.0010808,0.0001016259,0.002094725,0.0002335943,0.0006455821,0.001233323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062083,"about_ca_system_score_gemma":0.0001055521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003492761,"about_ca_topic_score_gemma":0.00008024641,"domain_scores_codex":[0.9965955,0.000141774,0.001231322,0.000432511,0.001084896,0.0005139759],"domain_scores_gemma":[0.997292,0.0002666649,0.0009837731,0.0005937815,0.0007983392,0.00006540827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007049557,0.00121411,0.7418741,0.00004441668,0.0004532132,0.0001568249,0.001417253,0.00002702495,0.0008482554,0.0004829189,0.08209879,0.1706782],"study_design_scores_gemma":[0.001935139,0.00005638443,0.8682168,0.0001267128,0.0005948854,0.00001623596,0.002621011,0.00003390253,0.000113933,0.0001563385,0.1257714,0.0003573084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943166,0.0001565462,0.00005344652,0.002474223,0.001383922,0.0008430797,0.000017545,0.0002332245,0.0005214559],"genre_scores_gemma":[0.99533,0.0002325285,0.0000154836,0.0008229424,0.0002898624,0.00007587032,0.00001999755,0.00005396057,0.003159389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703208,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07280561741308726,"score_gpt":0.3286554943375457,"score_spread":0.2558498769244584,"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."}}