{"id":"W4386834384","doi":"10.18280/ria.370426","title":"Predicting User Engagement of Facebook Post Images in Leading Universities: A Machine Learning Approach","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"User engagement; Computer science; Social media; Human–computer interaction; Data science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.002479202,0.0001037136,0.0002018667,0.0002384113,0.0003965202,0.00006440011,0.000276994,0.00007472349,0.0001373697],"category_scores_gemma":[0.001145856,0.0001179894,0.00007971005,0.0008925385,0.0002518495,0.0002195596,0.00011192,0.0002845122,0.0001459404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343457,"about_ca_system_score_gemma":0.0001318264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141528,"about_ca_topic_score_gemma":0.0002850641,"domain_scores_codex":[0.9983961,0.0003761489,0.0003083392,0.0002475023,0.0002717646,0.0004001417],"domain_scores_gemma":[0.9988535,0.0007398775,0.0001176208,0.0001193369,0.00009274745,0.00007692051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001072444,0.0003634494,0.1162584,0.0005260432,0.0000670445,0.00007385582,0.6692433,0.1193227,0.005525235,0.02602697,0.0006162313,0.06186949],"study_design_scores_gemma":[0.0001087179,0.0001278653,0.001136699,0.000466172,0.00001965645,0.000001003381,0.9074677,0.0499662,0.006191928,0.0005071086,0.03361546,0.0003915423],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7249758,0.00007459211,0.0007636185,0.0003879957,0.0002206901,0.0004031604,0.000011124,0.0002121494,0.2729508],"genre_scores_gemma":[0.9721472,0.0001607828,0.0001325468,0.00001554758,0.00006824206,0.000016065,0.00001245815,0.00001384855,0.02743335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471713,"threshold_uncertainty_score":0.4811466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747406391470723,"score_gpt":0.3017143672873809,"score_spread":0.2542403033726737,"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."}}