{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002060896,0.0006746388,0.0005794085,0.001462454,0.0005313313,0.0003866391,0.0007443756,0.0005788957,0.0004068772],"category_scores_gemma":[0.0000999193,0.0007199075,0.0002823035,0.0008284104,0.0002648639,0.0005485012,0.0003351453,0.0003994057,0.0006918687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009088579,"about_ca_system_score_gemma":0.0004672718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079105,"about_ca_topic_score_gemma":0.0001386819,"domain_scores_codex":[0.9976038,0.00002891649,0.0003283691,0.0008226473,0.0006244563,0.0005917756],"domain_scores_gemma":[0.998612,0.0000513234,0.0003892533,0.0006765822,0.0002179317,0.00005284305],"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":[0.0001221175,0.0004120178,0.0001749071,0.001897441,0.0004332137,0.001358744,0.00003200071,0.06320871,0.0001129544,0.3338354,0.5977634,0.0006491015],"study_design_scores_gemma":[0.00122523,0.00003426509,0.0001109577,0.00115464,0.0001691105,0.00001366036,0.0002034746,0.01710855,0.0000202158,0.00006604008,0.9790678,0.0008260761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003801676,0.003794397,0.02924919,0.0007464313,0.01523715,0.00110105,0.00006953022,0.002762756,0.9466593],"genre_scores_gemma":[0.3652349,0.0001328504,0.003564889,0.001118016,0.01851608,0.00025979,0.001844007,0.0008580023,0.6084715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3813044,"threshold_uncertainty_score":0.9995252,"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."}}