{"id":"W4250647693","doi":"10.32920/ryerson.14663556","title":"Embodied nostalgia","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Nostalgia and Consumer Behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Snapshot (computer storage); Photography; Digital photography; Visual arts; Phone; Embodied cognition; Digital era; Digitization; Art; Computer science; World Wide Web; Telecommunications; The Internet; Artificial intelligence","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000929822,0.0003212123,0.00040116,0.00009597036,0.00004719804,0.0001248449,0.0003798601,0.0005721315,0.0575652],"category_scores_gemma":[0.00001228541,0.0003171559,0.000280689,0.00008154586,0.0000608927,0.00002508017,0.0007840903,0.0007877996,0.002306988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003705819,"about_ca_system_score_gemma":0.0001449856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009015609,"about_ca_topic_score_gemma":0.00008924866,"domain_scores_codex":[0.9981899,0.0001163325,0.000333825,0.0007890681,0.0001907862,0.0003800935],"domain_scores_gemma":[0.998331,0.00004493097,0.0001050063,0.001277702,0.0001080176,0.0001333256],"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":[0.000304367,0.003993801,0.153816,0.0006679471,0.003374352,0.00805931,0.02053308,0.000006335844,0.00559542,0.1099902,0.3090886,0.3845706],"study_design_scores_gemma":[0.003769089,0.0001959185,0.8931208,0.0005336551,0.001914783,0.00043051,0.01657416,0.00001811272,0.004414512,0.004813555,0.06897239,0.005242562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224386,0.001364628,0.0002964427,0.0002897978,0.005390469,0.0003171028,0.00004197731,0.0002715486,0.4695894],"genre_scores_gemma":[0.9273607,0.00002033206,0.000862295,0.0003593827,0.0001368128,0.0002026052,0.0003138504,0.00005838799,0.07068565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7393047,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499655072446258,"score_gpt":0.3486440864140186,"score_spread":0.303647535689556,"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."}}