{"id":"W3185991793","doi":"10.1145/3474677","title":"Merlynne","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Cognitive dissonance; Avatar; Psychology; Peer support; Social psychology; Applied psychology; Computer science; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388433,0.0001376814,0.0001717646,0.00009870766,0.0001278398,0.00008013435,0.000768294,0.00006503615,0.0005712734],"category_scores_gemma":[0.00009966415,0.0001134842,0.000219257,0.0002112776,0.00004690158,0.0002989554,0.0004862435,0.0002741578,0.000330843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122574,"about_ca_system_score_gemma":0.000008357364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002769179,"about_ca_topic_score_gemma":0.000005524032,"domain_scores_codex":[0.9988011,0.00001682892,0.0004266381,0.0003297266,0.0002118804,0.0002138707],"domain_scores_gemma":[0.9988712,0.00006732588,0.0003168967,0.0004511253,0.0002403345,0.0000531232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004303488,0.00528349,0.004316623,0.0005749224,0.0005940513,0.00001475196,0.004463036,0.00001127314,0.02924827,0.3523364,0.3834702,0.2192566],"study_design_scores_gemma":[0.003267312,0.00387954,0.139691,0.003757217,0.0001899004,0.0007829029,0.00292702,0.00024309,0.6143261,0.1435784,0.08634719,0.001010329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204779,0.00002831899,0.0000290488,0.004213858,0.005200179,0.000197013,0.000007411692,0.00007859548,0.06976762],"genre_scores_gemma":[0.9902787,5.611296e-7,0.0009004613,0.0007064299,0.0003406159,0.00003752694,0.000004759869,0.00002281632,0.00770808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850778,"threshold_uncertainty_score":0.6255043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09406073842184264,"score_gpt":0.420559554776623,"score_spread":0.3264988163547803,"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."}}