{"id":"W2005595981","doi":"10.1109/icstw.2013.41","title":"Experimenting with Category Partition's 1-Way and 2-Way Test Selection Criteria","year":2013,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intuition; Computer science; Selection (genetic algorithm); Test (biology); Partition (number theory); Test case; Machine learning; Artificial intelligence; Mathematics; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01314255,0.001349759,0.0009429124,0.002262014,0.0005271652,0.001536573,0.00192551,0.001754588,0.001730011],"category_scores_gemma":[0.07157052,0.0006104951,0.0008463669,0.00144137,0.001160493,0.002559982,0.002141573,0.001767985,0.0003843906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109762,"about_ca_system_score_gemma":0.001217395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477387,"about_ca_topic_score_gemma":0.003029832,"domain_scores_codex":[0.9864317,0.008032004,0.0008206801,0.001116176,0.002826699,0.00077275],"domain_scores_gemma":[0.8523666,0.1300631,0.003566901,0.007408582,0.005009146,0.001585625],"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":[0.01132329,0.00393652,0.04432536,0.001478096,0.0006521753,0.0008056697,0.003137552,0.2033463,0.08912349,0.02744709,0.005062473,0.6093619],"study_design_scores_gemma":[0.00177222,0.01249443,0.0290876,0.0001684562,0.0004531631,0.001060308,0.001250087,0.8132287,0.1081248,0.02293597,0.009059268,0.0003650478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425179,0.0002645312,0.150185,0.0003298563,0.00006884737,0.0005595234,0.0002488947,0.001891895,0.003933678],"genre_scores_gemma":[0.8132001,0.00007715017,0.1839129,0.0001584395,0.00002347172,0.0005982988,0.0004316056,0.0004166538,0.001181398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314255,"threshold_uncertainty_score":0.06950521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01521089768339039,"score_gpt":0.2481205116688559,"score_spread":0.2329096139854655,"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."}}