{"id":"W2750614133","doi":"10.1145/3098279.3125438","title":"Using frame of mind","year":2017,"lang":"en","type":"article","venue":"","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reminiscence; Computer science; Metaphor; Frame (networking); Human–computer interaction; Storytelling; Multimedia; Mobile device; World Wide Web; Computer graphics (images); Psychology; Narrative; Art; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002037423,0.00003055512,0.00005470013,0.000005453095,0.0002469784,0.0001098019,0.00008715085,0.00001113698,0.01462861],"category_scores_gemma":[0.00000483089,0.00001952114,0.00002802254,9.536765e-7,0.0001012867,0.0001375118,0.000021013,0.00001966362,0.00003394771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001881335,"about_ca_system_score_gemma":0.000003317785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009077176,"about_ca_topic_score_gemma":0.0007661594,"domain_scores_codex":[0.999806,0.000001919145,0.00005799946,0.00004124578,0.00004096012,0.00005186889],"domain_scores_gemma":[0.9997699,0.000002654794,0.00004716045,0.0001394712,0.00002759312,0.00001325478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004805617,0.00003215353,0.0006341928,0.00002130787,0.00001821286,0.000002092704,0.01437245,6.193013e-7,0.003937864,0.9721755,0.002178793,0.006622023],"study_design_scores_gemma":[0.0002199077,0.000044023,0.002061951,0.00004215454,0.00001636897,0.000001138552,0.006189028,0.0003263651,0.003250562,0.00267904,0.9850054,0.0001640085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5173659,0.00001125632,0.000004120317,0.00005563034,0.0001156153,0.00001560951,0.000003031261,0.000002974509,0.4824259],"genre_scores_gemma":[0.9713035,0.000001028175,0.0003067057,0.00003274697,0.0001647682,2.417393e-7,3.854029e-7,0.000002357969,0.02818823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9828267,"threshold_uncertainty_score":0.9862722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2542793038405055,"score_gpt":0.3213181495998113,"score_spread":0.0670388457593058,"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."}}