{"id":"W6886083659","doi":"10.14288/1.0406080","title":"English for academic purposes in Canada : practitioners’ assessment practices and construction of assessment literacy","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Literacy; English for academic purposes; Assessment for learning; Higher education; Population; Mainland; Grounded theory; Needs assessment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004757882,0.00003700193,0.0002320075,0.00003884819,0.0002658765,0.0001040857,0.0001563751,0.00008426928,0.0001282127],"category_scores_gemma":[0.0002378606,0.0001208442,0.00004610357,0.0003065156,0.0002150284,0.0009851372,0.00007852548,0.0001805577,1.214556e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004496059,"about_ca_system_score_gemma":0.003027301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9552318,"about_ca_topic_score_gemma":0.9963099,"domain_scores_codex":[0.9987633,0.0001813339,0.0001787892,0.0002725034,0.0004076469,0.0001964499],"domain_scores_gemma":[0.9983523,0.0003890788,0.0005145877,0.00009689563,0.000566419,0.00008071626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001030863,0.0001155729,0.8044933,0.0001146213,0.00006451918,0.00005536484,0.003349835,0.000002645861,0.0001782292,0.0003447482,0.001000252,0.1902706],"study_design_scores_gemma":[0.0007828606,0.00002788818,0.8888935,0.0001174459,0.00004738082,0.000006004245,0.1054411,0.00005426665,0.000001492087,0.0003651694,0.0041562,0.000106694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922889,0.0001654377,0.0001371245,0.000589566,0.0003387098,0.0003457144,0.0001295789,0.00001241769,0.005992566],"genre_scores_gemma":[0.9911307,0.001351932,0.007113222,0.00002908413,0.00005314666,0.000002313371,0.00002598337,0.000005066453,0.0002885411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1901639,"threshold_uncertainty_score":0.5370302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01624634877687258,"score_gpt":0.2852179691138342,"score_spread":0.2689716203369616,"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."}}