{"id":"W2896682018","doi":"10.1002/jcpy.1073","title":"How Readability Shapes Social Media Engagement","year":2018,"lang":"en","type":"article","venue":"Journal of Consumer Psychology","topic":"Digital Communication and Language","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Université du Québec en Outaouais","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Readability; Fluency; Processing fluency; Social media; Valence (chemistry); Psychology; Context (archaeology); Social psychology; Cognitive psychology; Advertising; Computer science; World Wide Web; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007483955,0.0002340169,0.0001823503,0.001041989,0.000306326,0.002159854,0.0001998951,0.0005225535,0.006031847],"category_scores_gemma":[0.01444408,0.0001427534,0.0002686393,0.0006419934,0.0005302944,0.00176156,0.0006630259,0.0004373202,0.00076023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002940359,"about_ca_system_score_gemma":0.0001211456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600778,"about_ca_topic_score_gemma":0.002338319,"domain_scores_codex":[0.9994355,0.000181278,0.00004469768,0.0001505625,0.0001200179,0.0000680085],"domain_scores_gemma":[0.9875531,0.007547802,0.003025966,0.0006156674,0.0006764699,0.0005808988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004931391,0.0002728587,0.9419071,0.0001358951,0.0001297065,0.0003906557,0.01187947,0.0005491294,0.01376334,0.0006875443,0.0005954795,0.02919575],"study_design_scores_gemma":[0.000005383018,0.0001269814,0.9927441,0.00001166011,0.00002020435,0.0001663894,0.002825836,0.001008824,0.001244895,0.0009779719,0.0008521075,0.00001573183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955421,0.0000696118,0.0007240598,0.0000863161,0.000004960673,0.00001297643,0.0002180656,0.00002267553,0.003319212],"genre_scores_gemma":[0.9988422,0.00002789228,0.000347421,0.00002159365,0.00001101805,0.000009704268,0.0001677477,0.00001143591,0.0005609494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006031847,"threshold_uncertainty_score":0.0201785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399433387570431,"score_gpt":0.3555073221353864,"score_spread":0.2815129882596821,"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."}}