{"id":"W2238251647","doi":"","title":"How do female and male students work with an online vocabulary program","year":2010,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Vocabulary; Work (physics); Psychology; Computer science; Linguistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002267266,0.0001535371,0.000120747,0.0001970431,0.0001607794,0.0003692231,0.0004365933,0.0002995475,0.004043906],"category_scores_gemma":[0.00006295956,0.0001456643,0.0000649664,0.000232523,0.0002169194,0.0009170814,0.00005444788,0.0005380154,0.00002869117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003687664,"about_ca_system_score_gemma":0.0001210767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001277864,"about_ca_topic_score_gemma":0.000008586926,"domain_scores_codex":[0.999109,0.00001771674,0.000232128,0.000233778,0.0002101407,0.0001972298],"domain_scores_gemma":[0.9988401,0.00002404844,0.0002459248,0.0002948812,0.000520671,0.00007439233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001237179,0.001314679,0.1201329,0.00003106504,0.0002876102,6.68776e-7,0.02181293,0.000001001486,0.0001802493,0.09579676,0.005812702,0.7545058],"study_design_scores_gemma":[0.003273234,0.0008667075,0.1957748,0.00009266683,0.0001050468,0.0002924807,0.3749342,0.0005099354,0.0001790214,0.001811184,0.4213609,0.0007998121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858537,0.0001232689,0.003355942,0.005033192,0.0007915545,0.0006732504,0.00002897671,0.0003304269,0.003809729],"genre_scores_gemma":[0.9630438,0.000006268338,0.02823272,0.001772057,0.0001942251,0.0007067635,0.0008696384,0.00001449619,0.005160008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7537059,"threshold_uncertainty_score":0.9968665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235643394298495,"score_gpt":0.3540623641278026,"score_spread":0.3317059301848176,"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."}}