{"id":"W2376153660","doi":"","title":"The Benchmarks for Reading of Canadian Language Benchmarks and its Comments","year":2014,"lang":"en","type":"article","venue":"Overseas English","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Reading (process); Immigration; Strengths and weaknesses; Computer science; Linguistics; Language assessment; Psychology; Mathematics education; Political science; Social psychology","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":[0.01839234,0.0009974992,0.0009073301,0.003557644,0.02242335,0.01106533,0.005137403,0.01253725,0.009488294],"category_scores_gemma":[0.07138669,0.000799835,0.0009356938,0.004548162,0.007957391,0.003812121,0.004065886,0.02155626,0.002366445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1283018,"about_ca_system_score_gemma":0.2802158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9856175,"about_ca_topic_score_gemma":0.9852778,"domain_scores_codex":[0.9655427,0.001892509,0.001290353,0.001525646,0.02380448,0.005944163],"domain_scores_gemma":[0.8984545,0.008063792,0.001530016,0.002311554,0.0761401,0.01350002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001433353,0.0000100168,0.0004343887,0.00004339467,0.000001982733,0.00007651724,0.001002014,0.00009524797,0.0001258122,0.0255528,0.9660668,0.006576653],"study_design_scores_gemma":[0.00000766505,0.00001012312,0.003456938,0.0001609941,0.000004572892,0.00003158837,0.001625318,0.0001175153,0.0001522911,0.001536649,0.9928102,0.00008611529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004553146,0.004529865,0.001405925,0.7917803,0.02869482,0.0003601933,0.002948177,0.0004612978,0.1652663],"genre_scores_gemma":[0.09351985,0.00405382,0.009969924,0.5040802,0.005646622,0.0007271575,0.003297991,0.0006713906,0.378033],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1283018,"threshold_uncertainty_score":0.9308987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115129890597977,"score_gpt":0.2094686924585338,"score_spread":0.1983173935525541,"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."}}