{"id":"W2240083779","doi":"10.1177/0165551515614472","title":"The effects of textual environment on reading comprehension: Implications for searching as learning","year":2016,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interactivity; Reading comprehension; Reading (process); Presentation (obstetrics); Computer science; Comprehension; Context (archaeology); Multimedia; Human–computer interaction; Cognitive psychology; Psychology; Linguistics","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":[0.004745371,0.0005757926,0.0005881916,0.001361649,0.0008151768,0.003173039,0.000718973,0.0006699485,0.008066328],"category_scores_gemma":[0.05866678,0.0002463695,0.0005934346,0.001118413,0.002133779,0.004315784,0.001736438,0.0008876426,0.0005855759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703507,"about_ca_system_score_gemma":0.0008744118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313344,"about_ca_topic_score_gemma":0.001623898,"domain_scores_codex":[0.9963941,0.002038883,0.0002702519,0.0004654844,0.0006018665,0.0002295056],"domain_scores_gemma":[0.8637474,0.1172876,0.01079754,0.002379034,0.003145949,0.002642574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008792762,0.01418752,0.5006679,0.005293134,0.0006656093,0.001989602,0.1197334,0.001950642,0.05451379,0.007253354,0.001444917,0.2835073],"study_design_scores_gemma":[0.0002037789,0.006522968,0.9451203,0.0004844549,0.0004483527,0.0004320063,0.02375871,0.001197186,0.01316587,0.00587034,0.002699901,0.0000960368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854042,0.0008319094,0.001900416,0.0005530194,0.00002147525,0.0001507151,0.00008532679,0.00005183966,0.0110011],"genre_scores_gemma":[0.9958305,0.0005113494,0.002091989,0.0001177174,0.00003092695,0.0001792541,0.00006971788,0.00004692893,0.001121592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008066328,"threshold_uncertainty_score":0.02698457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221898730093293,"score_gpt":0.2485376076626942,"score_spread":0.2363186203617613,"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."}}