{"id":"W2242987773","doi":"","title":"Task Generator: A Portable System for Generating Learning Tasks for Intelligent Language Tutoring Systems","year":2002,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Task (project management); Generator (circuit theory); Natural language processing; Artificial intelligence; Human–computer interaction; Engineering; Power (physics); Systems engineering","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":[0.001186228,0.002424486,0.001183376,0.001411145,0.0004287447,0.0012313,0.003119872,0.001410247,0.0492509],"category_scores_gemma":[0.006902946,0.001236236,0.0009101128,0.0009129599,0.0003656078,0.00184245,0.001817194,0.001392288,0.02082598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430554,"about_ca_system_score_gemma":0.001081589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253004,"about_ca_topic_score_gemma":0.002645009,"domain_scores_codex":[0.9994935,0.0001213803,0.00006084683,0.0001437243,0.0001353013,0.00004516925],"domain_scores_gemma":[0.9976549,0.001341442,0.00009553939,0.0003579433,0.0003415036,0.0002086677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002833729,0.0005656559,0.002176367,0.001168271,0.0001719196,0.0007081063,0.0006922944,0.01083465,0.03217238,0.003927808,0.2761586,0.6685902],"study_design_scores_gemma":[0.003460988,0.001229772,0.005587547,0.0003171538,0.0004505308,0.001495001,0.0003165519,0.5782767,0.1698812,0.02899626,0.2095669,0.0004214029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008815777,0.0002146499,0.5211046,0.0001219966,0.000251234,0.0008501583,0.007182017,0.4565828,0.004876774],"genre_scores_gemma":[0.1574365,0.0005213247,0.7169372,0.0006778557,0.0001951763,0.004640122,0.03475705,0.05174323,0.03309156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0492509,"threshold_uncertainty_score":0.1647606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077231944920873,"score_gpt":0.2624777985717867,"score_spread":0.2217054791225779,"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."}}