{"id":"W2117499497","doi":"10.1108/nlw-05-2014-0051","title":"A study of print and computer-based reading to measure and compare rates of comprehension and retention","year":2014,"lang":"en","type":"article","venue":"New Library World","topic":"Media, Communication, and Education","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; University of Toronto","funders":"","keywords":"Newspaper; Reading (process); Comprehension; Computer science; Hypertext; Reading comprehension; The Internet; Guardian; Presentation (obstetrics); Chunking (psychology); Psychology; World Wide Web; Multimedia; Advertising; Linguistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002653169,0.00005231925,0.0001412172,0.0001014664,0.0001300763,0.00003820703,0.00008687086,0.00001581438,0.00001391102],"category_scores_gemma":[0.0000289756,0.00004969811,0.000008605118,0.0002074505,0.00007040499,0.0002077701,0.00005689936,0.00004375233,3.117054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004316312,"about_ca_system_score_gemma":0.00004668404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006573893,"about_ca_topic_score_gemma":0.001089453,"domain_scores_codex":[0.9992433,0.0002790012,0.000160809,0.000120604,0.0001276625,0.00006868364],"domain_scores_gemma":[0.9993939,0.0002238865,0.00009082155,0.0001519073,0.00003252387,0.0001069907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006023373,0.0001840158,0.89774,0.00008703257,0.00001294894,9.630926e-8,0.06171208,0.00002452106,0.0005210899,0.005508813,0.002711199,0.03143799],"study_design_scores_gemma":[0.0006954973,0.0002172457,0.9842814,0.0002899138,0.0000204528,2.220891e-7,0.006702409,0.001152216,0.000644945,0.00113226,0.004760855,0.0001026047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967111,0.0001638227,0.000214156,0.001284397,0.00007781007,0.0002857302,6.351641e-7,0.0000206762,0.001241721],"genre_scores_gemma":[0.9956139,0.00003187812,0.004063859,0.00007919785,0.0000698236,0.000002994983,0.000006289257,0.00000448063,0.0001275831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08654139,"threshold_uncertainty_score":0.202663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08412756495929888,"score_gpt":0.3220249121508618,"score_spread":0.2378973471915629,"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."}}