{"id":"W4234841639","doi":"10.32920/ryerson.14648439","title":"An examination of memory archivization through a creative wearable artifact","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Artifact (error); Wearable computer; Autobiographical memory; Psychology; Key (lock); Human–computer interaction; Line (geometry); Line drawings; Computer science; Cognitive psychology; Visual arts; Multimedia; Aesthetics; Art; Engineering; Artificial intelligence; Recall; Engineering drawing","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":[0.003009762,0.000530136,0.000190853,0.001928635,0.002061094,0.004643734,0.0009798332,0.0007999437,0.003505882],"category_scores_gemma":[0.006620841,0.0003334167,0.0005199079,0.00106336,0.004573569,0.002553713,0.003514461,0.0009374406,0.0004065363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008124232,"about_ca_system_score_gemma":0.0007001635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096601,"about_ca_topic_score_gemma":0.001898605,"domain_scores_codex":[0.9978678,0.001035196,0.0001133481,0.000276647,0.0004967764,0.0002101767],"domain_scores_gemma":[0.9954897,0.002212717,0.0004437922,0.001246489,0.0004351272,0.0001720906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002334715,0.0001638443,0.01180728,0.0005513806,0.0000430468,0.002455321,0.853669,0.000368072,0.03796341,0.0201894,0.00067002,0.0718857],"study_design_scores_gemma":[0.00004874002,0.0008444092,0.05985155,0.0008992831,0.0001255479,0.008800889,0.7359842,0.001523861,0.0536892,0.008755377,0.1293382,0.0001387266],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234607,0.0007056151,0.02113754,0.0003414938,0.00006338776,0.0001503351,0.00009877644,0.0001283982,0.05391378],"genre_scores_gemma":[0.983754,0.0002641431,0.006361225,0.00005511658,0.0000105167,0.00005460834,0.00004746563,0.00006447568,0.00938837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004643734,"threshold_uncertainty_score":0.01591736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05758190463684713,"score_gpt":0.2664734547933548,"score_spread":0.2088915501565077,"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."}}