{"id":"W4413131251","doi":"10.1145/3759258","title":"Factors Associated with Problematic Mobile Phone Use among Sub-Saharan African Populations: Moderating Effect of Gender","year":2025,"lang":"en","type":"article","venue":"ACM Journal on Computing and Sustainable Societies","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Mobile phone; Anticipation (artificial intelligence); Psychology; Psychological intervention; Context (archaeology); Anxiety; Depression (economics); Developmental psychology; Psychiatry; Geography; Engineering","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":[0.001045757,0.0002596356,0.0002834969,0.0007621083,0.0008042898,0.0008565782,0.0001952183,0.000221691,0.002807661],"category_scores_gemma":[0.005144202,0.0002033665,0.0003566582,0.0008375053,0.0003900714,0.0006236316,0.0007453993,0.0005099577,0.0001131129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893379,"about_ca_system_score_gemma":0.000518982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006380241,"about_ca_topic_score_gemma":0.01230746,"domain_scores_codex":[0.9993529,0.0003314871,0.00005648793,0.00005245337,0.00007659863,0.0001300823],"domain_scores_gemma":[0.9982345,0.0007474013,0.0006106558,0.00008520341,0.0001203664,0.000201839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002345133,0.00002834809,0.9923726,0.00002074076,0.00002452547,0.0001226853,0.002272444,0.000009968547,0.0001327704,0.00007482466,0.00007133455,0.004846272],"study_design_scores_gemma":[0.000002117567,0.00005831319,0.9894485,0.0000562514,0.00003801988,0.0002966303,0.009304129,0.00009347276,0.00007013704,0.00009706383,0.0005310109,0.00000432801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987234,0.0002793367,0.00008489848,0.0001417217,0.00000926701,0.0000114902,0.00005854496,0.000001126744,0.0006900973],"genre_scores_gemma":[0.9995209,0.0001998691,0.0001024634,0.0000307547,0.000005097606,0.00001129757,0.00002561242,9.004161e-7,0.0001030872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006380241,"threshold_uncertainty_score":0.01268619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168833950166722,"score_gpt":0.3082424656229387,"score_spread":0.2765541261212715,"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."}}