{"id":"W4408472987","doi":"10.1007/978-3-031-80916-3_4","title":"Influences on User Engagement","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on information concepts, retrieval, and services","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Psychology","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":[0.003742081,0.0003517136,0.0004159342,0.001466378,0.002276242,0.007177215,0.0005162745,0.000976155,0.04271823],"category_scores_gemma":[0.02672669,0.0002312045,0.0004986891,0.00179308,0.001377843,0.003795004,0.003767593,0.001522466,0.005762227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603188,"about_ca_system_score_gemma":0.0006958956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953354,"about_ca_topic_score_gemma":0.002756271,"domain_scores_codex":[0.992061,0.004832556,0.0001956669,0.0006586616,0.001220893,0.001031104],"domain_scores_gemma":[0.972679,0.0189567,0.001538125,0.001717751,0.002419495,0.002689047],"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":[0.003664422,0.001988506,0.3765783,0.0008597109,0.0002993736,0.001431474,0.1412873,0.001452367,0.01596958,0.1220981,0.01826199,0.3161089],"study_design_scores_gemma":[0.0001783383,0.001320628,0.6486408,0.000478305,0.0003023223,0.001106523,0.1182366,0.008104855,0.008308252,0.06088168,0.1522573,0.0001843548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5932786,0.0009481337,0.003710059,0.001977049,0.000118338,0.0000803012,0.0004067029,0.0001819132,0.3992988],"genre_scores_gemma":[0.991753,0.0001296227,0.0002177662,0.0001029575,0.0000320166,0.000034655,0.00008929372,0.00006575823,0.007574887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04271823,"threshold_uncertainty_score":0.1429067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402788063088587,"score_gpt":0.2842136895687309,"score_spread":0.270185808937845,"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."}}