{"id":"W2393107047","doi":"","title":"Test Case Design Based on Formal Specification and Classification-tree Method","year":2007,"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; Tree (set theory); Test (biology); Formal specification; Test case; Process (computing); Keyword-driven testing; Tree structure; Data mining; Artificial intelligence; Machine learning; Programming language; Data structure; Mathematics; Software","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":[0.000809506,0.0001557609,0.000109618,0.0002600916,0.0004072172,0.000112258,0.0005227254,0.0001060389,0.00000558762],"category_scores_gemma":[0.000003703774,0.0001565195,0.00003584208,0.0005441165,0.00006504318,0.0002515448,0.00009695422,0.0001863825,0.00008213552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008231288,"about_ca_system_score_gemma":0.00008607648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003316324,"about_ca_topic_score_gemma":0.000004584937,"domain_scores_codex":[0.9987252,0.00004249427,0.0003008905,0.0005245365,0.0001353556,0.0002715162],"domain_scores_gemma":[0.9980191,0.0009944648,0.0001313756,0.0006289806,0.0001221914,0.0001039063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000365891,0.000469559,0.0005761829,0.000009904843,0.00000901138,0.00001536669,0.0001232523,0.0001760013,0.006495021,0.2748493,0.001800932,0.7154718],"study_design_scores_gemma":[0.001184756,0.0003138939,0.07682979,0.00003573902,0.00003970628,0.001792301,0.000211501,0.5152705,0.04311727,0.02793734,0.3323323,0.000934888],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002926064,0.00003160248,0.9930736,0.004120677,0.00002384119,0.0006826844,0.00000440674,0.0002527976,0.001517753],"genre_scores_gemma":[0.2017894,0.000003263879,0.7971354,0.0006066842,0.0000843063,0.0002837398,0.00001366494,0.000008488739,0.0000750644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7145369,"threshold_uncertainty_score":0.6382681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036854655635959,"score_gpt":0.3270254492173206,"score_spread":0.2901707935813616,"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."}}