{"id":"W2102137313","doi":"10.1002/j.2048-7940.2010.tb00284.x","title":"How to Choose and Develop Written Educational Materials","year":2010,"lang":"en","type":"article","venue":"Rehabilitation Nursing","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Reseau canadien de recherche respiratoire","keywords":"Computer science; Mathematics education; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004531479,0.00008384866,0.00009400236,0.000118059,0.0001466235,0.0003844454,0.0002168779,0.00005815494,0.00001459846],"category_scores_gemma":[0.001372097,0.00008415354,0.00001491787,0.0003205634,0.00008201437,0.0006610961,0.00003014337,0.00007556257,0.000022403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006654448,"about_ca_system_score_gemma":0.000115731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000957355,"about_ca_topic_score_gemma":0.000008230958,"domain_scores_codex":[0.999115,0.0000675643,0.000170653,0.000337531,0.0001622346,0.0001469376],"domain_scores_gemma":[0.9988141,0.0004113747,0.00005129536,0.0003612401,0.0002513515,0.0001106049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007288676,0.0001092916,0.001956936,0.00002908464,0.000002661738,8.216252e-8,0.008595527,0.000002862489,0.2449556,0.3806094,0.0009048204,0.3628265],"study_design_scores_gemma":[0.0001377603,0.0000699621,0.8991295,0.00004664074,0.000003244078,0.00001456267,0.0003019701,0.0002491832,0.009307888,0.08527831,0.005263625,0.0001973782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193082,0.00001177308,0.05239045,0.1272087,0.0006232538,0.0002460193,0.000002658934,0.00006489653,0.0001440112],"genre_scores_gemma":[0.7532066,3.71991e-7,0.2464078,0.0001253532,0.00008279959,0.00002960641,0.000005522916,0.000004380245,0.000137598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8971725,"threshold_uncertainty_score":0.3707216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009490039935537474,"score_gpt":0.2730680900962374,"score_spread":0.2635780501606999,"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."}}