{"id":"W4211015282","doi":"10.2196/30838","title":"Attentional Harms and Digital Inequalities","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Seriousness; Relevance (law); The Internet; Internet privacy; Public relations; Psychology; Social psychology; Sociology; Political science; Computer science; World Wide Web; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003481649,0.00005526927,0.00008414646,0.00005449703,0.001572045,0.00005643364,0.0001303028,0.00002258416,0.0003742893],"category_scores_gemma":[0.00001090948,0.00006079112,0.00002391403,0.0001118145,0.0002094689,0.0001794761,0.0001634022,0.0001482144,0.00001813305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400341,"about_ca_system_score_gemma":0.000157974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007061152,"about_ca_topic_score_gemma":0.0001057068,"domain_scores_codex":[0.9989913,0.00009475119,0.0001256221,0.0001283158,0.0003764997,0.0002835447],"domain_scores_gemma":[0.9997367,0.00001270806,0.00006689385,0.0000621901,0.000007073098,0.0001144067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001579152,0.001155823,0.4619083,0.0001195882,0.00003853326,0.00001194987,0.06835394,7.014355e-7,0.00004834525,0.09613255,0.227879,0.1441934],"study_design_scores_gemma":[0.001715612,0.0006249715,0.189844,0.00004362661,0.000002072862,0.00003660359,0.1884483,0.00001457673,0.00001264184,0.007436706,0.6114706,0.0003502433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607979,0.000197615,0.000003267502,0.03324318,0.0003563392,0.0004088744,0.0002149119,0.0001490163,0.004628897],"genre_scores_gemma":[0.9911897,0.00002817566,0.00003198843,0.00180984,0.00004572823,0.00003406827,0.00004041466,0.000006102196,0.006814018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3835916,"threshold_uncertainty_score":0.9997278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033415756579676,"score_gpt":0.373236922031668,"score_spread":0.3429027644658712,"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."}}