{"id":"W4416913269","doi":"10.3390/asi8060186","title":"Zero-Shot to Head-Shot: Hyperpersonalization in the Age of Generative AI","year":2025,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Personalization; Clickstream; Automation; Key (lock); Analytics; Modality (human–computer interaction); Generative grammar; Feature (linguistics)","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":[0.004675221,0.0006851325,0.0005159845,0.001289702,0.001256011,0.004289943,0.001487166,0.001370754,0.003665241],"category_scores_gemma":[0.01525451,0.0005682281,0.0008694805,0.0009855813,0.005772217,0.009312578,0.009504939,0.003517707,0.0008007266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118002,"about_ca_system_score_gemma":0.001010052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133219,"about_ca_topic_score_gemma":0.001670044,"domain_scores_codex":[0.9952204,0.002604808,0.0001633253,0.0009486102,0.0008271082,0.0002356406],"domain_scores_gemma":[0.9901631,0.004659006,0.0004246732,0.003773855,0.0004702179,0.0005091099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005061541,0.00039918,0.01368642,0.0007569144,0.0001838849,0.0006427229,0.02329106,0.01896061,0.02677423,0.4585497,0.007816706,0.4484324],"study_design_scores_gemma":[0.00005494473,0.0005279825,0.00952737,0.0002784956,0.0001202444,0.001416813,0.005007498,0.1228075,0.02676975,0.7232441,0.1100488,0.0001964288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05747843,0.0007474275,0.9241949,0.001324016,0.00007695323,0.0001826115,0.0002407038,0.002278825,0.0134762],"genre_scores_gemma":[0.6572402,0.0006347748,0.3351257,0.0005374635,0.00009787676,0.0002908709,0.0006035901,0.0004621804,0.005007329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004675221,"threshold_uncertainty_score":0.02472526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08438652990202869,"score_gpt":0.3970087656684784,"score_spread":0.3126222357664497,"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."}}