{"id":"W3116307283","doi":"","title":"Prose and cons of scholarly articles: How readability tests expose poor knowledge mobilization in academic publications","year":2021,"lang":"en","type":"article","venue":"Journal of Professional Communication","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Readability; Reading (process); Comprehension; Meaning (existential); Index (typography); Psychology; Reading comprehension; Social science; Sociology; Political science; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002627391,0.00009674793,0.0002246528,0.0002376987,0.000152194,0.0001489761,0.0008190804,0.000155145,0.000006019258],"category_scores_gemma":[0.003127708,0.00008523829,0.00005246859,0.000944979,0.0001562936,0.003493404,0.0003854983,0.000713472,0.000001432474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271863,"about_ca_system_score_gemma":0.0007580188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000654815,"about_ca_topic_score_gemma":0.00006958114,"domain_scores_codex":[0.9975436,0.001008044,0.0007705336,0.000206513,0.0003411678,0.0001301307],"domain_scores_gemma":[0.9955346,0.0008701768,0.0007114735,0.0008579147,0.001925831,0.0001000319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00010936,0.004093668,0.2929322,0.0003334784,0.00004663975,0.000002085977,0.01919881,0.00008353814,0.3790933,0.1784595,0.001314044,0.1243334],"study_design_scores_gemma":[0.0007008773,0.0001160386,0.909645,0.0004887687,0.00001532102,0.00008237397,0.002052018,0.004345209,0.03326897,0.04772023,0.001399829,0.0001654215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540493,0.003019097,0.01482465,0.02759626,0.00009573974,0.0002738333,0.000004035358,0.00002100439,0.0001160053],"genre_scores_gemma":[0.9770694,0.0003672534,0.02227413,0.00007149104,0.00001726511,0.00002186055,0.00001131432,0.000005351843,0.0001619488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6167127,"threshold_uncertainty_score":0.3744385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08257423262281025,"score_gpt":0.3646460487182441,"score_spread":0.2820718160954339,"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."}}