{"id":"W1969782574","doi":"10.1016/s1096-7516(02)00067-2","title":"Concurrent development and cost–benefit analysis of paper-based and digitized instructional material","year":2002,"lang":"en","type":"article","venue":"The Internet and Higher Education","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Process (computing); Measure (data warehouse); Mathematics education; Instructional design; Instructional development; Accounting; Process management; Psychology; Multimedia; Business; Data mining","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":[0.00008056439,0.00008302518,0.000111666,0.0001588915,0.00006172444,0.0001974288,0.00005753707,0.00002674675,0.001250308],"category_scores_gemma":[0.000006314096,0.00006294459,0.00001960897,0.000175497,0.00007607495,0.0002193714,0.00003324784,0.0000345546,0.000006203898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561759,"about_ca_system_score_gemma":0.00001439929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002511572,"about_ca_topic_score_gemma":0.00005038933,"domain_scores_codex":[0.9995319,0.00000429692,0.0001627444,0.0001283688,0.0001000134,0.00007262472],"domain_scores_gemma":[0.9996952,0.00002000207,0.0001253201,0.00006722829,0.00008168889,0.00001051982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008505502,0.0004632186,0.2404015,0.0003409815,0.0007079702,2.663576e-7,0.002023598,0.00001532369,0.0004423121,0.1571979,0.02535159,0.5729703],"study_design_scores_gemma":[0.0003732463,0.000005421366,0.6631269,0.00003894771,0.0003316701,9.498129e-7,0.0003121485,0.0008048283,0.0001031992,0.0004388556,0.3343085,0.0001553484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994434,0.0001969522,0.00001077607,0.001503657,0.0007204018,0.00009509618,0.000002260686,0.00001870222,0.003018162],"genre_scores_gemma":[0.9968648,0.00001050098,0.00004474216,0.00101447,0.0002510004,0.00002401458,0.00006746998,0.000005751911,0.001717228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5728149,"threshold_uncertainty_score":0.9996627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217520279207923,"score_gpt":0.2357462991108077,"score_spread":0.2139942711900154,"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."}}