{"id":"W2072551071","doi":"10.1111/0026-7902.00062","title":"Reading‐Based Exercises in Second Language Vocabulary Learning: An Introspective Study","year":2000,"lang":"en","type":"article","venue":"Modern Language Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; University of Ottawa","keywords":"Vocabulary; Reading (process); Reading comprehension; Computer science; Introspection; Elaboration; Linguistics; Psychology; Process (computing); Comprehension; Vocabulary development; Natural language processing; Cognitive psychology","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":[0.002220491,0.0006241793,0.000546696,0.0009790036,0.0006444124,0.001401127,0.0008076375,0.000936732,0.001208447],"category_scores_gemma":[0.01635853,0.0002445129,0.0003096404,0.0003539111,0.001212407,0.00106482,0.001459969,0.001448262,0.0002993916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00027778,"about_ca_system_score_gemma":0.0003491169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204069,"about_ca_topic_score_gemma":0.0003684052,"domain_scores_codex":[0.9985602,0.0007907555,0.00007900819,0.0001648825,0.000294384,0.0001106501],"domain_scores_gemma":[0.9837548,0.01292222,0.0012033,0.000619825,0.0009103238,0.000589544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00114505,0.02028032,0.1154928,0.001393517,0.0001342331,0.005582332,0.5287911,0.001043776,0.1427616,0.00170323,0.0008505385,0.1808215],"study_design_scores_gemma":[0.0005066178,0.03635401,0.5183178,0.0009064565,0.0003528195,0.009357199,0.3067976,0.005388042,0.08855648,0.003830742,0.02937252,0.000259768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985363,0.00004416882,0.0004581557,0.00002539766,0.0000052391,0.00005059263,0.000005065634,0.000008430948,0.0008666729],"genre_scores_gemma":[0.995923,0.0001499717,0.002125014,0.0001019585,0.00001953175,0.0001643817,0.00004211866,0.00001204893,0.001461874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002220491,"threshold_uncertainty_score":0.01174325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025948402460304,"score_gpt":0.3156710930495735,"score_spread":0.3054116090249705,"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."}}