{"id":"W2393268972","doi":"","title":"Canadian Language Benchmarks 2000 and Development of Spoken English Competence","year":2007,"lang":"en","type":"article","venue":"Journal of Southwest University of Science and Technology","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spoken language; Competence (human resources); China; Computer science; English as a foreign language; English language; Benchmark (surveying); Linguistics; Natural language processing; Psychology; Mathematics education; History; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003248885,0.0005028922,0.0002915365,0.005798067,0.003412302,0.002813172,0.001434539,0.0003936114,0.005813146],"category_scores_gemma":[0.01596162,0.0002511873,0.0003491595,0.006350309,0.0006398262,0.001219814,0.001698012,0.001069517,0.0008607305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07570735,"about_ca_system_score_gemma":0.08436964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979845,"about_ca_topic_score_gemma":0.9890842,"domain_scores_codex":[0.9953489,0.0003525509,0.0002324026,0.0002952272,0.003004174,0.0007666826],"domain_scores_gemma":[0.9805715,0.0005762566,0.0009100516,0.0002337598,0.01444361,0.003264847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004048295,0.0003656019,0.3154007,0.0004397269,0.00005888353,0.000519712,0.00974784,0.003070327,0.0009859301,0.08098958,0.2716446,0.3163722],"study_design_scores_gemma":[0.00001885021,0.00008490581,0.8627531,0.0001642647,0.00001928489,0.00009021298,0.004517377,0.001698042,0.001042752,0.001949734,0.127582,0.00007937432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4286935,0.003267001,0.003753645,0.007704977,0.0004815914,0.0004823043,0.03188489,0.0007747844,0.5229573],"genre_scores_gemma":[0.9272747,0.0009946661,0.005327513,0.0003111862,0.00002055543,0.0002707118,0.01626347,0.00009387374,0.04944329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07570735,"threshold_uncertainty_score":0.5492979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006476823553036234,"score_gpt":0.2267948322473882,"score_spread":0.2203180086943519,"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."}}