{"id":"W4388841286","doi":"10.3386/w31872","title":"A Model of Behavioral Manipulation","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Sid W. Richardson Foundation; Smith Richardson Foundation; National Science Foundation","keywords":"Behavioral modeling; Psychology; Computer science; Artificial intelligence","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":[0.002060805,0.001147785,0.0008976861,0.001275187,0.00111894,0.002979031,0.002813898,0.003980916,0.0349613],"category_scores_gemma":[0.009266594,0.0005959038,0.001439458,0.001130832,0.002976193,0.005632551,0.002036062,0.003257521,0.003877098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002963016,"about_ca_system_score_gemma":0.002634623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009076915,"about_ca_topic_score_gemma":0.004145544,"domain_scores_codex":[0.9980634,0.000619534,0.00006730716,0.0004342771,0.0003808537,0.0004346604],"domain_scores_gemma":[0.9936554,0.003524452,0.0009582542,0.0006469974,0.0006603362,0.0005544834],"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":[0.0001613441,0.0003490284,0.003928612,0.0001321444,0.00006885681,0.0005447983,0.0007885286,0.07850374,0.002315272,0.8939719,0.00544985,0.01378596],"study_design_scores_gemma":[0.0002100371,0.0002286854,0.00209401,0.00005375885,0.00006451591,0.0003504793,0.0003095715,0.5353937,0.0003970047,0.4439839,0.01683957,0.00007479331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364169,0.0008029489,0.5017623,0.0144744,0.0002796054,0.0006763875,0.002459856,0.00101767,0.3421099],"genre_scores_gemma":[0.8805506,0.0007552941,0.03816785,0.001414227,0.0002155678,0.001164501,0.0006300777,0.0001597746,0.07694214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0349613,"threshold_uncertainty_score":0.1169572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8875044323509858,"score_gpt":0.6889433525144467,"score_spread":0.198561079836539,"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."}}