{"id":"W2006992344","doi":"10.1080/0958822042000319683","title":"Educational Use of Databases in CALL","year":2004,"lang":"en","type":"article","venue":"Computer Assisted Language Learning","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Perl; Database; The Internet; Profiling (computer programming); Process (computing); Set (abstract data type); Template; World Wide Web; Information retrieval; Natural language processing; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007706588,0.0001072549,0.00015831,0.0001859744,0.0001168125,0.00006564389,0.00009041867,0.00001473828,0.0004210646],"category_scores_gemma":[0.00005730514,0.00009372288,0.00007150732,0.00008430596,0.0001375531,0.0002298021,0.00006811535,0.0001933196,0.00001367001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002259602,"about_ca_system_score_gemma":0.00003095792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002656622,"about_ca_topic_score_gemma":0.003344958,"domain_scores_codex":[0.9992909,0.00005808423,0.0002035895,0.0001666363,0.0001191831,0.0001615842],"domain_scores_gemma":[0.9995425,0.0001578332,0.00008599372,0.0001331268,0.00005222309,0.00002829623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006850703,0.0009850137,0.06661219,0.0003248081,0.0002932098,0.0002375027,0.744548,0.006405898,0.0005890579,0.1160548,0.002221613,0.06165939],"study_design_scores_gemma":[0.005638045,0.0005154482,0.6668968,0.002513787,0.0001638384,0.00007344686,0.0584556,0.001333785,0.0007474019,0.0004541334,0.261355,0.001852733],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911052,0.001140094,0.001229822,0.0002662149,0.0003593274,0.0001080298,0.00002461114,0.00007905388,0.005687626],"genre_scores_gemma":[0.9943798,0.000007377406,0.004018763,0.0002256935,0.0004330491,0.00000725628,0.00008917492,0.00001187575,0.0008270182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6860924,"threshold_uncertainty_score":0.4610362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04946998412645452,"score_gpt":0.2694239780438744,"score_spread":0.2199539939174198,"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."}}