{"id":"W4409069581","doi":"10.18372/2225-5036.30.19208","title":"НЕВИЗНАЧЕНІСТЬ ОЦІНЮВАННЯ КІЛЬКІСНИХ ХАРАКТЕРИСТИК ЯКОСТІ ПРОГРАМНОГО ЗАБЕЗПЕЧЕН-НЯ","year":2024,"lang":"uk","type":"article","venue":"Ukrainian Scientific Journal of Information Security","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Mathematics","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":[0.002702399,0.0008802837,0.0005171283,0.002212499,0.003735156,0.01132048,0.001237578,0.002220586,0.04029863],"category_scores_gemma":[0.007734714,0.0007304859,0.0009875365,0.002030637,0.007490958,0.006698598,0.003756017,0.00333311,0.01425568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004399407,"about_ca_system_score_gemma":0.00722712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00753984,"about_ca_topic_score_gemma":0.00645271,"domain_scores_codex":[0.9961428,0.001003808,0.0002236512,0.0006871247,0.001515427,0.0004272138],"domain_scores_gemma":[0.9962231,0.001012074,0.0003802457,0.0006143562,0.001364843,0.0004052459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004853249,0.00003949236,0.00139298,0.0002002428,0.0000251507,0.0002217516,0.003446339,0.0006262797,0.001263405,0.9511567,0.00815051,0.03342866],"study_design_scores_gemma":[0.00004218022,0.00007082448,0.004322307,0.0004553062,0.00005959436,0.0004970094,0.006552222,0.001754235,0.002845782,0.5442756,0.4390307,0.00009418436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02395718,0.004305009,0.08048683,0.01280114,0.001061375,0.0002015414,0.0007013353,0.0004318358,0.8760538],"genre_scores_gemma":[0.622761,0.008155826,0.09509365,0.002580061,0.0008133118,0.0007497018,0.0008993136,0.0006816771,0.2682656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04029863,"threshold_uncertainty_score":0.1348123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680356450854495,"score_gpt":0.2731229693790235,"score_spread":0.2563194048704786,"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."}}