{"id":"W2085380106","doi":"10.1007/s10009-009-0117-2","title":"Approximating the safely reusable set of learned facts","year":2009,"lang":"en","type":"article","venue":"International Journal on Software Tools for Technology Transfer","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Theory of computation; Computer science; Set (abstract data type); Programming language; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009400569,0.0001427042,0.0001952038,0.0003286158,0.0001699749,0.0001775659,0.002405234,0.0001689933,0.00001239009],"category_scores_gemma":[0.001395304,0.0001030117,0.0001473495,0.0003131866,0.0001002436,0.0007477508,0.00004247701,0.0004895023,0.00001037265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008689698,"about_ca_system_score_gemma":0.00006940516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.292668e-7,"about_ca_topic_score_gemma":3.837824e-7,"domain_scores_codex":[0.9984563,0.0000606802,0.0005469618,0.000231009,0.0004621386,0.0002429396],"domain_scores_gemma":[0.9986101,0.0002926328,0.0001681649,0.0003996738,0.0004917171,0.00003765629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008785748,0.00006366547,0.00008972113,0.000004917287,0.00006482648,0.000006623792,0.000246972,0.0005014549,0.003466746,0.3928904,0.0001359612,0.6024409],"study_design_scores_gemma":[0.003250439,0.002783272,0.00336721,0.000367503,0.0000498511,0.001211515,0.0002830785,0.01656534,0.3739814,0.5470503,0.05041828,0.0006718645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03230713,0.00004981547,0.9541039,0.01226905,0.000575172,0.0002318571,0.00001530303,0.0002015531,0.0002461743],"genre_scores_gemma":[0.4994307,0.0000364492,0.4996763,0.000684694,0.00008141316,0.00001868253,0.000003855166,0.000008877028,0.00005898099],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.601769,"threshold_uncertainty_score":0.4469564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06439611653173218,"score_gpt":0.3409925668288614,"score_spread":0.2765964502971292,"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."}}