{"id":"W4253833210","doi":"10.1111/j.1467-8640.2006.00279.x","title":"INTRODUCTION TO THE SPECIAL ISSUE ON CASE‐BASED REASONING IN THE HEALTH SCIENCES","year":2006,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Institute, University of Pittsburgh; Università degli Studi di Pavia; University of Aberdeen; Victoria University; Robert Gordon University; University of Victoria","keywords":"Domain (mathematical analysis); Case-based reasoning; Computer science; Data science; Artificial intelligence; Management science; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003703241,0.001987707,0.002706514,0.005889125,0.001372775,0.007413923,0.002328391,0.003998489,0.06423379],"category_scores_gemma":[0.01310523,0.0008058182,0.002844651,0.004652214,0.001775892,0.005676958,0.002879973,0.006826667,0.02828432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520111,"about_ca_system_score_gemma":0.001469646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007878359,"about_ca_topic_score_gemma":0.001456339,"domain_scores_codex":[0.9969603,0.0006934148,0.000506628,0.0005675915,0.001094988,0.0001770399],"domain_scores_gemma":[0.9824823,0.01046725,0.0007098562,0.0009547482,0.003563188,0.001822649],"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":[0.00002531418,0.00005966472,0.0001111677,0.0004119886,0.00002938631,0.00009400562,0.00005788492,0.0002634213,0.0002193692,0.003049423,0.9310034,0.06467496],"study_design_scores_gemma":[0.00001301168,0.0000404052,0.0003267764,0.000344706,0.00001787324,0.0003387722,0.00004886256,0.0002855726,0.00007330117,0.00732691,0.9911675,0.00001619571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005375808,0.09256239,0.02803219,0.05701853,0.7729594,0.0003002959,0.000830813,0.0007009012,0.04705787],"genre_scores_gemma":[0.002979773,0.07378959,0.0122629,0.02691481,0.795078,0.000255932,0.001709498,0.000715741,0.08629376],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06423379,"threshold_uncertainty_score":0.2148834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323481731754688,"score_gpt":0.3182124974938116,"score_spread":0.2849776801762647,"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."}}