{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006896075,0.0002701939,0.0004470447,0.001884454,0.005747273,0.007295653,0.0009061504,0.001661085,0.003422535],"category_scores_gemma":[0.01194461,0.0005644861,0.0003506498,0.001261747,0.009072614,0.006162649,0.003762651,0.002584981,0.0002784411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856914,"about_ca_system_score_gemma":0.001713299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004391296,"about_ca_topic_score_gemma":0.006156722,"domain_scores_codex":[0.9955511,0.002931771,0.0001504684,0.0002990348,0.0007017494,0.0003658569],"domain_scores_gemma":[0.9808161,0.0162525,0.001064242,0.0006600558,0.0008267789,0.0003803272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002898538,0.0000983678,0.005017315,0.00006176805,0.000004152841,0.0003596714,0.9843285,0.00002109846,0.000462684,0.00324754,0.0001629285,0.006207016],"study_design_scores_gemma":[0.000006478438,0.00007596171,0.005361947,0.00009442253,0.0000103462,0.0003281422,0.9832091,0.0002867134,0.0005004567,0.001355738,0.008746513,0.00002426935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990901,0.0001333019,0.0007988839,0.00059405,0.000008095394,0.00003877941,0.00001099541,0.000005812106,0.007509009],"genre_scores_gemma":[0.9975419,0.0001784983,0.0005206899,0.0001146548,0.000005712652,0.0000250114,0.000005865713,0.000007846849,0.001599828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007295653,"threshold_uncertainty_score":0.03647041,"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."}}