{"id":"W4385967155","doi":"10.2196/48780","title":"Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Topic Modeling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Generative grammar; Computer science; Artificial intelligence; Natural language processing; Psychology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002256642,0.001765051,0.0007209126,0.003461364,0.0007390801,0.00196707,0.002020377,0.001243734,0.02061464],"category_scores_gemma":[0.008634609,0.001012077,0.001720681,0.002005196,0.0005628952,0.002241788,0.002242442,0.002144455,0.01047003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262812,"about_ca_system_score_gemma":0.001984754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008288576,"about_ca_topic_score_gemma":0.01808316,"domain_scores_codex":[0.9989898,0.0003738326,0.00008857396,0.0002639206,0.0002194199,0.00006446542],"domain_scores_gemma":[0.9951264,0.003820995,0.0001735958,0.0004637426,0.0002764558,0.0001388602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007232223,0.000412086,0.008440015,0.001686275,0.0004106532,0.0006526209,0.002171916,0.05305441,0.03057463,0.03705913,0.1741304,0.6906847],"study_design_scores_gemma":[0.0001548278,0.0001598306,0.002052506,0.0001704178,0.0001996121,0.0004284499,0.0004798232,0.7398699,0.03404415,0.05165892,0.1706361,0.0001454938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006460363,0.0002970853,0.8572825,0.0004087054,0.0001540744,0.0003554802,0.009372828,0.120288,0.005381015],"genre_scores_gemma":[0.1216451,0.0004661667,0.8341335,0.0006700522,0.0001080013,0.001114953,0.02430117,0.008888047,0.00867301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02061464,"threshold_uncertainty_score":0.06896287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941360689439209,"score_gpt":0.3854807537735736,"score_spread":0.3560671468791815,"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."}}