{"id":"W2107404325","doi":"10.1111/j.1467-9922.2010.00624.x","title":"Semantic Categories and Context in L2 Vocabulary Learning","year":2011,"lang":"en","type":"article","venue":"Language Learning","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Categorization; Vocabulary; Psychology; Vocabulary learning; Task (project management); Linguistics; Incidental learning; Disadvantage; Vocabulary development; Natural language processing; Cognitive psychology; Context (archaeology); Artificial intelligence; Computer science","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":[0.0007051223,0.000393206,0.0003051743,0.0003630946,0.0003372957,0.001282632,0.0004721199,0.0005507861,0.002467903],"category_scores_gemma":[0.006216209,0.0003603686,0.0002097542,0.0002025263,0.001061034,0.003122072,0.001927143,0.000784894,0.0002460986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704936,"about_ca_system_score_gemma":0.000399575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009689956,"about_ca_topic_score_gemma":0.001357599,"domain_scores_codex":[0.9991781,0.0003190278,0.00003560566,0.0002090221,0.000182376,0.00007588177],"domain_scores_gemma":[0.9974215,0.001558637,0.000443982,0.0001992224,0.0001340774,0.0002425814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003744159,0.00139552,0.1057736,0.001221683,0.0002076959,0.001810708,0.01973756,0.0050426,0.4588652,0.04161986,0.001033743,0.3595476],"study_design_scores_gemma":[0.0008780124,0.005804356,0.5278782,0.0004787128,0.0005379419,0.003734376,0.01026845,0.03076273,0.145202,0.2522142,0.02175348,0.0004875303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902366,0.000330494,0.002979215,0.00009336903,0.00001148165,0.00001084964,0.00002119463,0.00002748547,0.006289477],"genre_scores_gemma":[0.9968686,0.000167376,0.002304651,0.00004269215,0.000006597495,0.00001705812,0.00004173278,0.00001834169,0.0005328915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002467903,"threshold_uncertainty_score":0.008255959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793630922494544,"score_gpt":0.2711746019524939,"score_spread":0.2532382927275485,"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."}}