{"id":"W2122411895","doi":"10.1609/aimag.v25i1.1749","title":"Applications of case-based reasoning in molecular biology","year":2004,"lang":"en","type":"article","venue":"AI Magazine","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Scientific reasoning; Domain (mathematical analysis); Computer science; Case-based reasoning; Artificial intelligence; Management science; Model-based reasoning; Data science; Knowledge representation and reasoning; Engineering; Mathematics education; Mathematics","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":[0.004133523,0.001044844,0.0007092807,0.004428996,0.001488411,0.00438018,0.002770571,0.00410392,0.008615498],"category_scores_gemma":[0.0127705,0.0007761558,0.001353522,0.004610367,0.003766959,0.004444778,0.002959062,0.00279276,0.001939249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809381,"about_ca_system_score_gemma":0.001121263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435607,"about_ca_topic_score_gemma":0.00183656,"domain_scores_codex":[0.9972942,0.001290874,0.0002285066,0.0002228567,0.0008613589,0.0001022181],"domain_scores_gemma":[0.9937533,0.004974332,0.0002044833,0.0004781337,0.0003941694,0.0001956399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000697082,0.0002012063,0.001034633,0.0006330181,0.00008691721,0.001672735,0.0008733879,0.04878899,0.001688339,0.5831214,0.01183006,0.3499997],"study_design_scores_gemma":[0.00005575828,0.0000391754,0.0004777906,0.0005071806,0.00004622242,0.001325581,0.0002846258,0.06386673,0.001659454,0.825877,0.1057983,0.0000621502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009773679,0.05991118,0.7856635,0.01696375,0.001298543,0.0004463354,0.0001932471,0.001169129,0.1245806],"genre_scores_gemma":[0.2024064,0.05734302,0.7263092,0.002130536,0.001160215,0.0003208067,0.0003172439,0.0001437863,0.009868853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008615498,"threshold_uncertainty_score":0.02882171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007530868579034015,"score_gpt":0.2666576103586232,"score_spread":0.2591267417795892,"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."}}