{"id":"W3041622804","doi":"10.1007/s00146-020-01015-w","title":"From filters to fillers: an active inference approach to body image distortion in the selfie era","year":2020,"lang":"en","type":"article","venue":"AI & Society","topic":"Body Image and Dysmorphia Studies","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Body dysmorphic disorder; Selfie; Psychology; Interpersonal communication; Inference; Identity (music); Context (archaeology); Sociocultural evolution; Cognitive psychology; Social psychology; Psychotherapist; Computer science; Artificial intelligence; Aesthetics; Sociology; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288292,0.0001603042,0.0001900662,0.00001267252,0.0001297266,0.00005824315,0.0003205232,0.00008102063,0.0001808912],"category_scores_gemma":[0.00006082963,0.0001241813,0.0001118366,0.0003263131,0.00006409523,0.0002073504,0.0001049839,0.0003326501,0.0002446246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578971,"about_ca_system_score_gemma":0.00002206959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008469836,"about_ca_topic_score_gemma":0.00004570617,"domain_scores_codex":[0.9988001,0.0001273865,0.0001688098,0.0004575501,0.0001703711,0.0002757897],"domain_scores_gemma":[0.9993482,0.0001185303,0.00004127302,0.0003304975,0.00004710042,0.0001143844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001096271,0.0003083583,0.002814969,0.000008042888,0.0001375252,0.000008760853,0.5199702,0.00001615061,0.002425358,0.0001599379,0.469204,0.004836979],"study_design_scores_gemma":[0.001438231,0.0006527241,0.7265054,0.000019906,0.00009468981,0.000001933797,0.2387783,0.0005760035,0.0004248813,0.0005481563,0.03028785,0.0006719321],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918132,0.0001083872,0.02610173,0.03873009,0.00030104,0.0008709643,0.0002125139,0.0001344576,0.01540881],"genre_scores_gemma":[0.9585734,0.00000851596,0.003208066,0.03756902,0.0003185692,0.0001720584,0.00007301848,0.00001496075,0.00006239711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7236905,"threshold_uncertainty_score":0.5063968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04052410571135911,"score_gpt":0.3338555238867894,"score_spread":0.2933314181754303,"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."}}