{"id":"W4411144373","doi":"10.1007/978-3-031-94959-3_20","title":"The Motivational Appeal of Persuasive Strategies in a Healthy Eating Behaviour Change Game","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; MacEwan University","funders":"","keywords":"Computer science; Appeal; Persuasive technology; Human–computer interaction; Psychology; Social psychology; Persuasion; Political science","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":[0.0003289538,0.0004810856,0.0001746311,0.0002065276,0.0002001735,0.0008578153,0.0004651193,0.0007473443,0.009633293],"category_scores_gemma":[0.002061957,0.0001511187,0.0001975767,0.00009823804,0.0002347322,0.0007086735,0.0004922799,0.0009462247,0.0006668878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459147,"about_ca_system_score_gemma":0.0001971529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077798,"about_ca_topic_score_gemma":0.0006047518,"domain_scores_codex":[0.9998751,0.00005164034,0.000004134225,0.00001428222,0.00004194648,0.00001285105],"domain_scores_gemma":[0.9992062,0.0007217104,0.00001312317,0.000007895793,0.00001637868,0.0000345878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002899486,0.007079019,0.002997592,0.00105346,0.00009822771,0.0007411595,0.0038133,0.01141391,0.06641226,0.1128691,0.01819414,0.7724283],"study_design_scores_gemma":[0.003563259,0.01280529,0.04725599,0.001161197,0.000665976,0.001858616,0.003860456,0.4740217,0.04456433,0.2731888,0.1367754,0.0002791349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6141846,0.001813,0.1207067,0.003322456,0.0007223878,0.0007863084,0.0001435994,0.0009270717,0.2573939],"genre_scores_gemma":[0.896584,0.0006837383,0.06159848,0.0005656317,0.0001010113,0.0005502732,0.00008010579,0.00008905623,0.03974778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009633293,"threshold_uncertainty_score":0.03222662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07266202129141236,"score_gpt":0.3846497256056772,"score_spread":0.3119877043142649,"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."}}