{"id":"W7112709870","doi":"","title":"ВИКОРИСТАННЯ АГРЕГОВАНИХ КРИТЕРІЇВ ДЛЯ ОЦІНКИ ЯКОСТІ ТЕСТІВ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ","year":2024,"lang":"en","type":"article","venue":"The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Montmorency","funders":"","keywords":"Software; Software quality; Set (abstract data type); Quality (philosophy); Software metric; Selection (genetic algorithm); Software system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002151155,0.0004833927,0.0004312683,0.002612982,0.001160576,0.00307802,0.0007582313,0.0008030419,0.01315517],"category_scores_gemma":[0.003649834,0.0004396683,0.0005528179,0.002570012,0.00198134,0.001922986,0.001228998,0.001548995,0.004879616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599122,"about_ca_system_score_gemma":0.003776249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004745049,"about_ca_topic_score_gemma":0.005847255,"domain_scores_codex":[0.9985144,0.0004197478,0.0001055664,0.0001758348,0.0006701808,0.0001143475],"domain_scores_gemma":[0.9987736,0.0004054897,0.0001427323,0.0001311206,0.0004460591,0.0001009402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001070288,0.00009715948,0.002176179,0.0004953945,0.00003027066,0.0007525394,0.003433183,0.004698563,0.008391505,0.5624297,0.007282821,0.4101057],"study_design_scores_gemma":[0.00006698308,0.0003012464,0.007829382,0.0006317386,0.0000918768,0.001605989,0.002851318,0.00950875,0.007595886,0.3462693,0.6230579,0.0001895669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04528403,0.008929978,0.5600002,0.005625062,0.001602088,0.0004773325,0.0004377251,0.0007148239,0.3769286],"genre_scores_gemma":[0.3971099,0.01132472,0.5107008,0.0004513813,0.0004391617,0.0007249134,0.0003566177,0.0003374383,0.07855512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01315517,"threshold_uncertainty_score":0.04400837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0765819397975161,"score_gpt":0.3440911545251911,"score_spread":0.267509214727675,"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."}}