{"id":"W4290237514","doi":"10.29173/cais1373","title":"Reimagining information overlad","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Vision; Semiotics; Scope (computer science); Perspective (graphical); Multidisciplinary approach; Promotion (chess); Sociology; Media studies; Library science; Public relations; Political science; Social science; Epistemology; Computer science; Anthropology; Philosophy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.005648748,0.0004431576,0.0003815783,0.004892639,0.01045023,0.02728746,0.001143567,0.002460224,0.01577559],"category_scores_gemma":[0.01140181,0.0004449062,0.0003517629,0.004331253,0.02445527,0.03186025,0.01385228,0.004243281,0.00232711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009260923,"about_ca_system_score_gemma":0.008621223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965978,"about_ca_topic_score_gemma":0.02776481,"domain_scores_codex":[0.9952641,0.002108577,0.0001970185,0.0005420936,0.001181843,0.0007064],"domain_scores_gemma":[0.9902413,0.003956874,0.0005731055,0.00213685,0.001948644,0.001143108],"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":[0.00004185427,0.00002704581,0.001799157,0.000132528,0.000008293191,0.0004720872,0.1961055,0.000220197,0.0009598912,0.7107659,0.01555524,0.07391231],"study_design_scores_gemma":[0.000004172115,0.00002174961,0.0007067202,0.0002481914,0.00001085261,0.0002578728,0.06715202,0.000371671,0.0007583277,0.1005371,0.8299162,0.0000150925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1106321,0.009731553,0.04118067,0.07501726,0.002496496,0.00006607798,0.0002266334,0.0009227609,0.7597266],"genre_scores_gemma":[0.862257,0.00499646,0.01294659,0.00417022,0.0009536011,0.00004349267,0.0001972137,0.0009476079,0.1134877],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02728746,"threshold_uncertainty_score":0.06719303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297503323404741,"score_gpt":0.2256657987808794,"score_spread":0.202690765546832,"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."}}