{"id":"W4411116825","doi":"10.1007/978-3-031-93061-4_16","title":"Empathy and Communication: Developing a Mobile Game to Enhance Social Support for Young Adult Cancer Patients","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Family Support in Illness","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Empathy; Human–computer interaction; Cancer; Multimedia; Psychology; Medicine; 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":[0.0004372562,0.0009536548,0.0002170397,0.0002193404,0.0003019894,0.0007365615,0.0008501703,0.0007070974,0.005549554],"category_scores_gemma":[0.001075929,0.0001410143,0.0003717294,0.00007002772,0.0002143181,0.0005516694,0.001257997,0.0006807804,0.0008719163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656867,"about_ca_system_score_gemma":0.0002834061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003635495,"about_ca_topic_score_gemma":0.001148773,"domain_scores_codex":[0.9998333,0.00006617537,0.000006144723,0.00002473986,0.00003092958,0.00003863846],"domain_scores_gemma":[0.9996461,0.0002122407,0.00001459706,0.000006697835,0.00002285594,0.00009759547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.002355364,0.01134941,0.008904016,0.002111086,0.0002223168,0.001966068,0.01517155,0.005423516,0.1075606,0.005134074,0.06235366,0.7774484],"study_design_scores_gemma":[0.004999654,0.04044432,0.1092947,0.002933606,0.00189652,0.01699868,0.03618725,0.1774927,0.110165,0.02503153,0.4735732,0.0009828833],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.848883,0.001128228,0.1031281,0.002287015,0.0006941107,0.001261169,0.0003668295,0.002541393,0.03971011],"genre_scores_gemma":[0.761135,0.001061438,0.1945563,0.001557986,0.0001343864,0.001987143,0.0004649124,0.0002569681,0.03884579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005549554,"threshold_uncertainty_score":0.01856512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636779045086809,"score_gpt":0.320165663694024,"score_spread":0.303797873243156,"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."}}