{"id":"W4384695942","doi":"10.22215/etd/2023-15465","title":"Transparency of Compounds and their Potential Importance in English Learner Reading Comprehension","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transparency (behavior); Reading comprehension; Comprehension; Linguistics; Coca; Vocabulary; Noun; Reading (process); Computer science; English language; Natural language processing; Psychology; Artificial intelligence; Philosophy","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":[0.001547549,0.0003168556,0.0003106762,0.001031487,0.0005290302,0.003031737,0.000263986,0.0005436764,0.004845267],"category_scores_gemma":[0.0147741,0.0002995958,0.0002375565,0.0006583015,0.0007217044,0.003282058,0.001443266,0.0007978996,0.0006006183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748694,"about_ca_system_score_gemma":0.0005167553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472187,"about_ca_topic_score_gemma":0.004430954,"domain_scores_codex":[0.99873,0.0004178761,0.000130874,0.0003382161,0.0002995422,0.00008347931],"domain_scores_gemma":[0.987428,0.009071198,0.001874771,0.0005451505,0.0007860229,0.0002947212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001839842,0.0005946578,0.5794063,0.0007971087,0.0001512127,0.001271458,0.04147805,0.001077407,0.1459298,0.00468372,0.001766899,0.2210034],"study_design_scores_gemma":[0.00004477516,0.0006753486,0.9444939,0.0002120807,0.0001213015,0.001389207,0.01278219,0.005225784,0.0217741,0.006483752,0.006693441,0.0001041014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922525,0.0003138194,0.001378897,0.0001004222,0.0000066654,0.00002337453,0.0002562094,0.00003490612,0.005633184],"genre_scores_gemma":[0.9971076,0.0001496581,0.001530156,0.00002055204,0.000004756801,0.00001831111,0.0004368849,0.00002199539,0.0007101548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004845267,"threshold_uncertainty_score":0.01620901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768221317210418,"score_gpt":0.3003069036755366,"score_spread":0.2826246905034325,"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."}}