{"id":"W2922588472","doi":"10.1561/107.00000061","title":"Self, Theory, and AI","year":2019,"lang":"en","type":"article","venue":"Journal of Marketing Behavior","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Psychology; Philosophy; Artificial intelligence; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.01894617,0.00005813951,0.0001495207,0.00005796037,0.0002452758,0.0001878243,0.0001561701,0.0001147405,0.0002809671],"category_scores_gemma":[0.002738376,0.00004971117,0.00007512524,0.00007692938,0.0001028863,0.0003411228,0.00002869848,0.0003772883,0.000007803564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005221437,"about_ca_system_score_gemma":0.000218474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004667522,"about_ca_topic_score_gemma":0.00002549269,"domain_scores_codex":[0.9980362,0.001102553,0.0002158961,0.0000649318,0.0003991904,0.0001812481],"domain_scores_gemma":[0.9979193,0.001297196,0.000230968,0.00005960061,0.0003483295,0.0001446423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008003812,0.0004901606,0.8124841,0.00009878236,0.0001147746,0.0001305076,0.06935098,0.000001071802,0.002694326,0.05828034,0.005943177,0.04961142],"study_design_scores_gemma":[0.00135979,0.0004049281,0.7760493,0.0003105457,0.0003173117,0.00005669391,0.02864717,0.000003823944,0.0001304904,0.009333919,0.182951,0.0004349641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736453,0.0001799284,0.000004618961,0.003571625,0.0005061982,0.0000928816,7.474203e-7,0.00001313752,0.02198554],"genre_scores_gemma":[0.9966148,0.0003271922,0.0006379746,0.0004529477,0.0003095195,5.064205e-7,7.040468e-8,0.000008334736,0.0016487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1770078,"threshold_uncertainty_score":0.6566401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166539211627708,"score_gpt":0.3605979840673491,"score_spread":0.3439440629045783,"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."}}