{"id":"W2062653522","doi":"10.1145/2470654.2481341","title":"Tailoring persuasive health games to gamer type","year":2013,"lang":"en","type":"article","venue":"","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Persuasive technology; Game mechanics; Computer science; Population; Psychology; Game play; Human–computer interaction; Cognitive psychology; Applied psychology; Persuasion; Social psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005993332,0.001554071,0.0009498717,0.001913514,0.000363796,0.002663706,0.001303147,0.001158157,0.003246704],"category_scores_gemma":[0.04286798,0.0006018861,0.0007742706,0.0004964867,0.0004981689,0.001979081,0.001315151,0.001094878,0.0008766501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008170409,"about_ca_system_score_gemma":0.0006659663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239889,"about_ca_topic_score_gemma":0.002083718,"domain_scores_codex":[0.9968904,0.001695361,0.0002350533,0.000505909,0.0004136998,0.0002596436],"domain_scores_gemma":[0.9745961,0.02026372,0.001370914,0.001503606,0.001489696,0.0007759815],"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":[0.005705237,0.02203237,0.141349,0.002603811,0.001083703,0.0004919742,0.006415657,0.08147908,0.04393642,0.01752654,0.003808753,0.6735675],"study_design_scores_gemma":[0.003480394,0.0145248,0.1275445,0.0007490923,0.001915822,0.0005871876,0.003402998,0.7363267,0.03638688,0.05737715,0.01719277,0.0005116152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875898,0.0002594008,0.1925163,0.0005070604,0.0001200286,0.005577816,0.0002092965,0.002140381,0.01107991],"genre_scores_gemma":[0.9085525,0.0001531955,0.08701268,0.0002062795,0.00002603398,0.002217599,0.0001454046,0.0001193536,0.001567002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005993332,"threshold_uncertainty_score":0.0316962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116930872209744,"score_gpt":0.4485120374507653,"score_spread":0.336818950229791,"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."}}