{"id":"W2109973395","doi":"10.1558/cj.v19i2.295-313","title":"Learner Control and Error Correction in ICALL","year":2002,"lang":"en","type":"article","venue":"CALICO Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"German; Grammar; Error detection and correction; Computer science; Sentence; Control (management); Natural language processing; Psychology; Linguistics; Artificial intelligence","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":[0.005409894,0.000398761,0.000356624,0.001506321,0.0006486591,0.002607186,0.0005878205,0.0005417776,0.001774578],"category_scores_gemma":[0.06652082,0.0001607325,0.0002263931,0.0004211058,0.00113156,0.001032118,0.001221224,0.0007264221,0.0003431005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945598,"about_ca_system_score_gemma":0.00089112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785838,"about_ca_topic_score_gemma":0.001822773,"domain_scores_codex":[0.9940206,0.00228206,0.0004344064,0.0006185658,0.002255151,0.0003891708],"domain_scores_gemma":[0.9117282,0.05727888,0.01510339,0.0042502,0.00828752,0.003351739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009267511,0.001463021,0.835318,0.0001226304,0.000115745,0.000627256,0.01734645,0.001197756,0.005447931,0.0008337138,0.0005793656,0.1360215],"study_design_scores_gemma":[0.0002145081,0.003444915,0.9243485,0.0001878373,0.0003452562,0.003871937,0.0117125,0.01471748,0.02818409,0.004268677,0.008499853,0.0002043958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956843,0.0002380912,0.001525937,0.0001085178,0.00001179757,0.00001837863,0.00002117551,0.00006337988,0.002328556],"genre_scores_gemma":[0.9985769,0.00007612704,0.0004691682,0.00003029809,0.000009741427,0.00000910816,0.0000273467,0.00001456506,0.0007867263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005409894,"threshold_uncertainty_score":0.02861059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398298848865336,"score_gpt":0.2981132183577861,"score_spread":0.2741302298691328,"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."}}