{"id":"W7036653024","doi":"","title":"Classifying California’s English Learners: Is the CELDT too Blunt an Instrument?","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Language assessment; English language; Test (biology); First language; Foreign language; Language acquisition; Language development","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":[0.03659981,0.0005714121,0.0007307359,0.006975092,0.002352227,0.007761326,0.004622253,0.001762356,0.007230436],"category_scores_gemma":[0.1045926,0.0006257515,0.0005095556,0.006679794,0.002360978,0.004332457,0.002832092,0.004273655,0.002312093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007196111,"about_ca_system_score_gemma":0.01932992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.198321,"about_ca_topic_score_gemma":0.1632417,"domain_scores_codex":[0.9828696,0.004224848,0.002078728,0.001672778,0.008121324,0.001032694],"domain_scores_gemma":[0.8244715,0.04440549,0.01383845,0.006130134,0.1000022,0.01115214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001377703,0.000163201,0.2585284,0.0008663684,0.0000673351,0.000044635,0.001954675,0.0002676384,0.00005827245,0.004648267,0.6136068,0.1196566],"study_design_scores_gemma":[0.0001367156,0.0003392913,0.6302062,0.007515352,0.0002714322,0.00007984388,0.01313761,0.001874307,0.0006891123,0.003278623,0.3423088,0.0001627095],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2439675,0.04127087,0.004658891,0.4071588,0.0164508,0.002199571,0.05217153,0.0009994473,0.2311227],"genre_scores_gemma":[0.7940668,0.02898194,0.01506454,0.0494838,0.007108816,0.004635747,0.06239858,0.000438449,0.03782131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.198321,"threshold_uncertainty_score":0.3943334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139905597724734,"score_gpt":0.2051212291139587,"score_spread":0.1837221731367113,"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."}}