{"id":"W7070764170","doi":"","title":"Personalization in Persuasive Technology:Proceedings of the Third International Workshop on Personalization in Persuasive Technology co-located with the 13th International Conference on Persuasive Technology, PPT@PERSUASIVE 2018, Waterloo, Canada, April 16, 2018","year":2018,"lang":"en","type":"article","venue":"TU/e Research Portal","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Personalization; Persuasive communication; Persuasion; Persuasive technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008046707,0.000866267,0.0009459647,0.001046905,0.001276546,0.007996629,0.0009895274,0.002097156,0.01345479],"category_scores_gemma":[0.009539577,0.0005340045,0.000688655,0.001075477,0.001910995,0.006048399,0.002892585,0.004932344,0.001579527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640085,"about_ca_system_score_gemma":0.002241354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428843,"about_ca_topic_score_gemma":0.003477185,"domain_scores_codex":[0.9966313,0.001753726,0.0001682384,0.0005246873,0.0006962382,0.0002257886],"domain_scores_gemma":[0.9907686,0.005654599,0.0001981787,0.0006493186,0.001846925,0.0008823812],"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":[0.0008695821,0.001361651,0.004025004,0.001634687,0.000177316,0.0003390556,0.03364193,0.001086856,0.01057576,0.06068316,0.1304428,0.7551622],"study_design_scores_gemma":[0.00022657,0.0005574861,0.02636551,0.001829154,0.0003205394,0.0008368618,0.01093782,0.005142444,0.01873103,0.04909232,0.8857762,0.0001839455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1821132,0.148751,0.2393468,0.09253582,0.02893071,0.001616909,0.000766703,0.001586073,0.3043528],"genre_scores_gemma":[0.6556066,0.04259486,0.07826465,0.003998699,0.00676022,0.001168606,0.001334157,0.001126532,0.2091457],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9975712,"threshold_uncertainty_score":0.04501075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900917457940601,"score_gpt":0.389754548691747,"score_spread":0.330745374112341,"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."}}