{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01233682,0.0003492306,0.0004323604,0.00235511,0.004542416,0.007310556,0.001072986,0.003600759,0.01047014],"category_scores_gemma":[0.04563811,0.0002445961,0.0007078673,0.001137882,0.02041828,0.007296638,0.01086621,0.004450386,0.0004929423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003128252,"about_ca_system_score_gemma":0.002223517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002928463,"about_ca_topic_score_gemma":0.002654981,"domain_scores_codex":[0.9855892,0.008347803,0.0005914992,0.001073722,0.003118168,0.001279646],"domain_scores_gemma":[0.9540485,0.03270048,0.006092101,0.003434594,0.002099705,0.001624528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002207091,0.0003314627,0.03867261,0.0007407597,0.0001176514,0.0008828492,0.0821146,0.0004625448,0.0009331667,0.7154971,0.00742425,0.1526022],"study_design_scores_gemma":[0.0000919516,0.0003451398,0.05657462,0.003923613,0.0002006363,0.002385578,0.07552056,0.001365423,0.001826179,0.6813872,0.1762536,0.0001254839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4441915,0.02145399,0.02484562,0.1842825,0.001290323,0.0001804341,0.0002961212,0.0001334957,0.323326],"genre_scores_gemma":[0.9841223,0.002755304,0.001479598,0.007817306,0.0003724292,0.00009242979,0.0000320151,0.00002505328,0.003303573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233682,"threshold_uncertainty_score":0.06524414,"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."}}