{"id":"W3107628270","doi":"10.1109/iccis49240.2020.9257698","title":"Exam Questions Classification Based on Bloom's Taxonomy: Approaches and Techniques","year":2020,"lang":"en","type":"article","venue":"","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Taxonomy (biology); Computer science; Preprocessor; Artificial intelligence; Natural language processing; Data science; Machine learning; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0124662,0.001281188,0.001091445,0.01898989,0.002198934,0.005743827,0.001904202,0.001322432,0.004248874],"category_scores_gemma":[0.03783018,0.0005812551,0.001329737,0.0129124,0.001270586,0.005272163,0.00272512,0.001856896,0.002350871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738607,"about_ca_system_score_gemma":0.006665123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008427182,"about_ca_topic_score_gemma":0.009754635,"domain_scores_codex":[0.9795563,0.006242729,0.004406699,0.001913886,0.007247085,0.0006332115],"domain_scores_gemma":[0.9654142,0.01087895,0.003659776,0.002153269,0.01702017,0.0008736882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000229172,0.0003602629,0.03040295,0.001561093,0.00008614629,0.0001472801,0.005336009,0.00265382,0.01149773,0.03181289,0.01395383,0.9019588],"study_design_scores_gemma":[0.0001794045,0.001121729,0.1511516,0.003405376,0.000357656,0.002012146,0.02294075,0.1388939,0.07038152,0.1803638,0.4285261,0.0006659481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05841619,0.003776479,0.8916216,0.002029611,0.0002341733,0.00706077,0.005483027,0.003847184,0.0275309],"genre_scores_gemma":[0.08534152,0.001327537,0.8987318,0.0001837869,0.00007214269,0.003314952,0.004311177,0.0001853288,0.00653174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01898989,"threshold_uncertainty_score":0.06592834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3567401275484771,"score_gpt":0.3884144029604822,"score_spread":0.03167427541200513,"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."}}