{"id":"W2559954809","doi":"","title":"A Construal-Level Approach to Persuasion by Personalization","year":2016,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Cultural Differences and Values","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Persuasion; Personalization; Computer science; Construal level theory; Psychology; World Wide Web; Social psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001709944,0.0001577788,0.0001458772,0.0001698936,0.00007602534,0.0002257069,0.0002978188,0.0001025539,0.001283938],"category_scores_gemma":[0.00005811019,0.00009928834,0.00005218388,0.0001025845,0.00004071405,0.0006448684,0.00003352938,0.00006368758,0.002802194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208823,"about_ca_system_score_gemma":0.00002885994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776984,"about_ca_topic_score_gemma":0.000001451609,"domain_scores_codex":[0.9986482,0.00006540422,0.0004163856,0.0001933538,0.0004960053,0.0001806995],"domain_scores_gemma":[0.9990266,0.00004297721,0.0001986951,0.0001604638,0.0004614121,0.0001098531],"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":[0.0001224389,0.00006711387,0.001467987,0.00001512413,0.00006314095,2.562779e-7,0.00563798,0.000007323056,0.001520407,0.9088702,0.06708933,0.01513867],"study_design_scores_gemma":[0.008628543,0.001268164,0.05433758,0.001661708,0.00005217941,0.0002502601,0.09273121,0.0185764,0.0008407222,0.001327589,0.8179668,0.002358861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1000951,0.00002224929,0.1509268,0.002836223,0.003810691,0.0007743665,0.001084323,0.0001798116,0.7402704],"genre_scores_gemma":[0.9869091,0.000009772767,0.00007768685,0.0004844683,0.0001214803,0.0001612659,0.0002449514,0.00000634653,0.01198496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9075426,"threshold_uncertainty_score":0.999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725850351316747,"score_gpt":0.3669917482828749,"score_spread":0.1944067131512002,"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."}}