{"id":"W2147955560","doi":"10.1017/s0890060409990047","title":"Software-engineering challenges of building and deploying reusable problem solvers","year":2009,"lang":"en","type":"article","venue":"Artificial intelligence for engineering design analysis and manufacturing","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. National Library of Medicine; Centers for Disease Control and Prevention","keywords":"Software engineering; Computer science; Software; Programming language; Computational science; Systems engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006106655,0.0001981579,0.0003492961,0.000465773,0.0001021598,0.0001322543,0.0002215756,0.00007111434,0.000001280134],"category_scores_gemma":[0.00008580425,0.0001976619,0.0001144087,0.0002491247,0.00001110188,0.0004032812,0.00005160182,0.00008411438,4.103372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754988,"about_ca_system_score_gemma":0.000008540896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003759263,"about_ca_topic_score_gemma":0.00000529176,"domain_scores_codex":[0.9986641,0.00001595782,0.0004425743,0.0004144743,0.0001566875,0.0003062516],"domain_scores_gemma":[0.9992378,0.0002532137,0.0001299714,0.0002398264,0.00004239671,0.00009683652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001113919,0.00003557025,0.00007639032,0.0002229038,0.0003170743,0.00000290422,0.001093212,0.7755997,0.03396117,0.05014155,0.000003100783,0.1385353],"study_design_scores_gemma":[0.00002835093,0.00007357015,0.0006615052,0.00006583495,0.00009272779,0.000002364843,0.00003560266,0.7232847,0.2739315,0.001585352,0.00004028911,0.0001982043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04190101,0.0006570545,0.9569024,0.00008074733,0.00007387555,0.0002439898,8.952478e-7,0.0001373705,0.00000266956],"genre_scores_gemma":[0.7140097,0.0001717343,0.2857587,0.000005996952,0.00002923791,0.00001203103,7.007202e-7,0.000008850015,0.000003034328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6721087,"threshold_uncertainty_score":0.8060417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03912924955359439,"score_gpt":0.2516688100467819,"score_spread":0.2125395604931875,"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."}}