{"id":"W2530486443","doi":"","title":"Investigating Spelling Errors of Moroccan EFL University Students","year":2016,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spelling; Linguistics; Computer science; Psychology; Mathematics education; Error analysis; English as a foreign language; Natural language processing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007567296,0.0003850306,0.0002907382,0.001851532,0.000442327,0.0006154862,0.0002525717,0.0003530712,0.001072276],"category_scores_gemma":[0.005943627,0.00009433299,0.0001361485,0.001107751,0.0003587684,0.0002568078,0.0003723662,0.0001880377,0.0004832082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072156,"about_ca_system_score_gemma":0.0004624325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005060087,"about_ca_topic_score_gemma":0.01019835,"domain_scores_codex":[0.9992934,0.0001504016,0.0001428334,0.0001112865,0.0002158208,0.00008618259],"domain_scores_gemma":[0.9936546,0.002032474,0.002534857,0.0002668631,0.001266763,0.0002444405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717496,0.0001591635,0.922423,0.0001263153,0.00003916631,0.0009442547,0.0101865,0.0001345898,0.01366008,0.00004621851,0.0002135988,0.05189546],"study_design_scores_gemma":[0.000003119833,0.0002015265,0.9906139,0.00002027213,0.00001269251,0.0008822863,0.003915774,0.0001725859,0.003342937,0.00004220854,0.0007817869,0.00001089646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996195,0.00007773469,0.00003770127,0.00001137509,0.000001655751,0.000002461411,0.00004234245,0.000002737459,0.0002044493],"genre_scores_gemma":[0.9988366,0.0001202827,0.0002723155,0.00001587671,0.000004468737,0.000005095827,0.0001112637,0.000002720699,0.0006313968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005060087,"threshold_uncertainty_score":0.01006126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895263305488317,"score_gpt":0.3654523503315817,"score_spread":0.3364997172766986,"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."}}