{"id":"W2089644677","doi":"10.1016/j.knosys.2008.03.009","title":"An Invertebrate Semantic/Software Application Development Framework for knowledge-based systems","year":2008,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Software engineering; Software development; Software; Programming language","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":[0.001675507,0.000506272,0.0004240682,0.001604899,0.001144888,0.003035908,0.002154386,0.001307943,0.003625096],"category_scores_gemma":[0.001936156,0.0006434007,0.001687339,0.0008815398,0.001212812,0.00244564,0.002626344,0.001783101,0.001661675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118773,"about_ca_system_score_gemma":0.002951207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00727396,"about_ca_topic_score_gemma":0.01326341,"domain_scores_codex":[0.9993538,0.0001080495,0.00008771998,0.0001153964,0.0002742485,0.00006081617],"domain_scores_gemma":[0.9992483,0.000196111,0.00007242538,0.0002129797,0.0001681065,0.0001020324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002434851,0.0004306023,0.004747559,0.0008990916,0.0002050164,0.001002252,0.002046024,0.03825747,0.03681934,0.5805687,0.03328499,0.3014955],"study_design_scores_gemma":[0.0000833126,0.0001488895,0.002686368,0.0005500011,0.00026326,0.001009386,0.0003573823,0.276431,0.03168707,0.1552474,0.5313935,0.0001424545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004358923,0.0001096988,0.9772269,0.0002901298,0.00003000352,0.0001582334,0.0004584817,0.01103781,0.006329815],"genre_scores_gemma":[0.03183376,0.0003147322,0.9591535,0.0001789661,0.00001393742,0.0002560691,0.001738224,0.001338716,0.005171999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00727396,"threshold_uncertainty_score":0.01446325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376143814697372,"score_gpt":0.369867941431066,"score_spread":0.2322535599613288,"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."}}