{"id":"W2362067483","doi":"","title":"Analysis and Design of the Computer Foundation Online Examination System","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Grading (engineering); Categorization; Foundation (evidence); Test (biology); Function (biology); World Wide Web; Multimedia; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760563,0.00008209642,0.0001134974,0.0001780866,0.0001662824,0.00005322095,0.0005033204,0.00004857058,0.000001127035],"category_scores_gemma":[2.051123e-7,0.00006613578,0.00004809543,0.001030469,0.00006315985,0.0001219708,0.0001743914,0.00006408023,0.00000406406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487864,"about_ca_system_score_gemma":0.00003753745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002768981,"about_ca_topic_score_gemma":0.0000084873,"domain_scores_codex":[0.999235,0.00006843307,0.0002364684,0.0002588829,0.0001109456,0.00009030313],"domain_scores_gemma":[0.9992459,0.00008588328,0.0001597031,0.000374989,0.000118299,0.00001522713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[8.443412e-7,0.0005061941,0.01422054,0.00005496138,0.0001828454,2.557952e-7,0.0001702623,0.0112143,0.005155077,0.5617387,0.0004524447,0.4063036],"study_design_scores_gemma":[0.0001879683,0.00002085073,0.6222695,0.00001736106,0.0001178101,0.00001703337,0.00002156366,0.3627839,0.003677685,0.003819759,0.006913318,0.0001532921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01308414,0.00003184531,0.98557,0.0007335998,0.0000261482,0.0004057302,0.000003752361,0.00009354206,0.00005131723],"genre_scores_gemma":[0.5048059,0.000001398147,0.4949726,0.00003692756,0.00004906705,0.00007466166,0.00002015221,0.000002286841,0.00003701894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6080489,"threshold_uncertainty_score":0.2696939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023933868950653,"score_gpt":0.2465900758382335,"score_spread":0.236350737148727,"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."}}