{"id":"W4319963725","doi":"10.1016/j.copsyc.2023.101561","title":"Nostalgia, media, and technologies of the future","year":2023,"lang":"en","type":"review","venue":"Current Opinion in Psychology","topic":"Nostalgia and Consumer Behavior","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Perspective (graphical); Social media; Relation (database); Psychology; Object (grammar); Domain (mathematical analysis); Coronavirus disease 2019 (COVID-19); Aesthetics; Social psychology; Media studies; Sociology; Political science; Visual arts; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002876679,0.0004577546,0.001356505,0.0006202827,0.00004943588,0.0000107433,0.0009696868,0.0009838267,0.0001444857],"category_scores_gemma":[0.00006998175,0.0003134506,0.0003415164,0.001158526,0.0005952985,0.00002825317,0.0003873094,0.001322428,0.0002579705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002772304,"about_ca_system_score_gemma":0.00008183953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007978301,"about_ca_topic_score_gemma":0.0000082989,"domain_scores_codex":[0.9971596,0.0004207504,0.0009746803,0.0008060608,0.0001821662,0.0004567606],"domain_scores_gemma":[0.9977916,0.000336424,0.0005528878,0.001236895,0.00003738818,0.00004482137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006894296,0.0001353915,0.0008090846,0.004289126,0.00005288949,0.000002663887,0.0002496291,1.13964e-9,1.383238e-7,0.003718905,0.01468071,0.9760545],"study_design_scores_gemma":[0.0003944748,0.00003549748,0.003972189,0.006460674,0.0001324681,0.00008231097,0.0003200398,2.156643e-8,7.297644e-8,0.00131056,0.9870089,0.0002827573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004100848,0.9438244,0.000002732139,0.0003410297,0.05427994,0.0008949818,0.0002098278,0.00014936,0.0002567375],"genre_scores_gemma":[0.00001752558,0.9989003,0.00001088411,0.000006882362,0.000338362,0.0005005632,0.00008778602,0.00006652645,0.00007117681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9757718,"threshold_uncertainty_score":0.9999318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1712710682691916,"score_gpt":0.482173144389826,"score_spread":0.3109020761206344,"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."}}