{"id":"W4308552608","doi":"10.1002/jad.12112","title":"Internet impropriety: Moral identity, moral disengagement, and antisocial online behavior within an early adolescent to young adult sample","year":2022,"lang":"en","type":"article","venue":"Journal of Adolescence","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Psychology; Moral disengagement; Social psychology; Context (archaeology); Developmental psychology; Moral development; Identity (music)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001533884,0.0002610871,0.0004337278,0.0003262979,0.0006950217,0.0003219419,0.0013217,0.0001343116,0.0000506356],"category_scores_gemma":[0.0006171726,0.0002752662,0.0001576165,0.0005981115,0.000436972,0.001200857,0.0007005511,0.001442201,0.000003401458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282469,"about_ca_system_score_gemma":0.0003091469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003450941,"about_ca_topic_score_gemma":0.004098492,"domain_scores_codex":[0.996197,0.0005267323,0.0007563343,0.000376183,0.001512656,0.0006310434],"domain_scores_gemma":[0.9980141,0.00002551963,0.0007397087,0.0002814009,0.0004016575,0.0005376412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002090541,0.0009986784,0.9863874,0.00001963032,0.00002450103,0.0001413102,0.005734862,0.00001100388,0.001159821,0.001104882,0.0008985256,0.003310339],"study_design_scores_gemma":[0.0009324519,0.0008494129,0.9895162,0.0001474358,0.00008805715,0.00006406604,0.007430373,0.00005271177,0.0002112727,0.0003976881,0.00000935744,0.0003010015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953243,0.00006934323,0.0007718321,0.001508035,0.001546914,0.000508017,0.00007966482,0.0001761959,0.00001575853],"genre_scores_gemma":[0.9953956,0.00005743034,0.003027113,0.0008835023,0.0004317676,0.000008622832,0.000004554822,0.00006158693,0.0001298455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003128779,"threshold_uncertainty_score":0.99997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729177160771075,"score_gpt":0.3385551492320308,"score_spread":0.29126337762432,"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."}}