{"id":"W7010919423","doi":"","title":"A knowledge based expert systems based upon webgrid / Mohd Nazir Sarah","year":2004,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repertory grid; Expert system; Bidding; Construct (python library); Procurement; Cognition; Perception; Knowledge base; Legal expert system; Focus (optics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000837601,0.0002108113,0.0002284775,0.0007637725,0.0003853727,0.001157514,0.0006396835,0.0004486262,0.003989283],"category_scores_gemma":[0.003405669,0.0001956491,0.0002773749,0.0005513511,0.0003378936,0.001330688,0.0006907663,0.00029268,0.0008674523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314153,"about_ca_system_score_gemma":0.0007537414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783522,"about_ca_topic_score_gemma":0.003045436,"domain_scores_codex":[0.999365,0.0002352532,0.00005821277,0.0001262937,0.0001852238,0.00002995182],"domain_scores_gemma":[0.9985819,0.0006389173,0.00007695005,0.000307721,0.0003308424,0.0000637585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001060291,0.001386057,0.03746023,0.0007849544,0.0001528092,0.003491237,0.00988626,0.05540423,0.04947146,0.02193769,0.0137619,0.8052028],"study_design_scores_gemma":[0.00035732,0.001456743,0.07431981,0.0005726301,0.000285595,0.004718383,0.01075589,0.6784997,0.06054788,0.04060502,0.1276541,0.0002269082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6502067,0.0004080325,0.293321,0.001409767,0.00007209922,0.0009479367,0.0006341831,0.003798453,0.04920179],"genre_scores_gemma":[0.8241489,0.0001902639,0.1656555,0.0001671046,0.00001056807,0.0001812378,0.0006110243,0.00005258274,0.008982885],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003989283,"threshold_uncertainty_score":0.01334548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01578690321670825,"score_gpt":0.2093451935262395,"score_spread":0.1935582903095312,"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."}}