{"id":"W4396928327","doi":"10.31235/osf.io/wqeg7","title":"Does Readability in MOOC Attract Potential Learners?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; National Research Council Canada","funders":"","keywords":"Readability; Computer science; Mathematics education; Psychology","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":[0.001670478,0.0001902436,0.0003469053,0.001084103,0.0003754121,0.002476789,0.0004180313,0.0006883459,0.004728708],"category_scores_gemma":[0.03165852,0.0001247114,0.0002759166,0.0008644933,0.0004051991,0.00212319,0.001006898,0.0006207284,0.001420803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004870245,"about_ca_system_score_gemma":0.0003975457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364224,"about_ca_topic_score_gemma":0.001990928,"domain_scores_codex":[0.9981189,0.0004414069,0.0001526661,0.0003387754,0.0006925857,0.0002556134],"domain_scores_gemma":[0.9778134,0.00939867,0.007057724,0.0007260772,0.002163507,0.002840621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001966273,0.0002979226,0.955841,0.00006446076,0.00004066773,0.0001269114,0.001615056,0.0002043228,0.0008544817,0.0002492061,0.0004690093,0.04004025],"study_design_scores_gemma":[0.000005717236,0.0002091367,0.9951636,0.00002190441,0.00001735421,0.0001048309,0.001890094,0.0006618646,0.000500182,0.0005356366,0.000878901,0.00001075463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967977,0.0001597975,0.000345266,0.0002367242,0.00001017392,0.0000117589,0.0001202227,0.00001207937,0.002306162],"genre_scores_gemma":[0.9989859,0.00004873778,0.0001077439,0.00003965805,0.0000185278,0.000007162572,0.0001113476,0.00000497195,0.0006757681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728708,"threshold_uncertainty_score":0.01581907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871363278137474,"score_gpt":0.2742081656563506,"score_spread":0.2554945328749759,"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."}}