{"id":"W2244648488","doi":"10.1145/2792989.2792993","title":"Personalized presentation builder for persuasive communication","year":2015,"lang":"en","type":"article","venue":"Communication Design Quarterly","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; IBM (Canada)","funders":"","keywords":"Personalization; Presentation (obstetrics); Computer science; Personality; Field (mathematics); Big Five personality traits; World Wide Web; Multimedia; Human–computer interaction; Psychology; Social 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":[0.002858236,0.001589922,0.0008512545,0.001852485,0.0008638189,0.002081442,0.002509188,0.001889282,0.02669665],"category_scores_gemma":[0.01257762,0.0009058149,0.001117575,0.0009661429,0.0005732376,0.003931785,0.002947171,0.00209461,0.008511612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007777428,"about_ca_system_score_gemma":0.0006355346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008774248,"about_ca_topic_score_gemma":0.0009293947,"domain_scores_codex":[0.9985768,0.0003896189,0.0001385025,0.0003547659,0.0004640653,0.00007643381],"domain_scores_gemma":[0.9945522,0.002511264,0.000339014,0.001386468,0.0008421328,0.0003689716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009844346,0.0008592273,0.002387105,0.0007796377,0.0001936493,0.0005344462,0.001485129,0.01497847,0.04245233,0.02146198,0.04093246,0.8729511],"study_design_scores_gemma":[0.0004224117,0.001024539,0.003669455,0.0002118733,0.0003220389,0.001340423,0.0003700041,0.6842105,0.07899125,0.03255685,0.1965393,0.0003413439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01073872,0.0001359125,0.9064615,0.0002196124,0.0001284269,0.0006829871,0.0004001097,0.07744586,0.003786801],"genre_scores_gemma":[0.1220179,0.000177927,0.856432,0.0002424446,0.0001508907,0.0008818185,0.001177575,0.002761579,0.01615786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02669665,"threshold_uncertainty_score":0.08930922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321323004514808,"score_gpt":0.379881091585327,"score_spread":0.2477487911338462,"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."}}