{"id":"W2103240721","doi":"10.1145/355045.355046","title":"Designing robust Java programs with exceptions","year":2000,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Java; Computer science; Programming language; Operating 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234083,0.0000718322,0.00005669753,0.00005505027,0.00007403574,0.0001813119,0.0004681372,0.0000233057,0.0004131379],"category_scores_gemma":[0.00001893244,0.0000544843,0.00001694412,0.0004966956,0.00002762122,0.0002848129,0.00004146066,0.0001004314,0.0004719772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002459134,"about_ca_system_score_gemma":0.00003880562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002851832,"about_ca_topic_score_gemma":0.000004775519,"domain_scores_codex":[0.9991792,0.00001555788,0.00006645508,0.0002182841,0.0002465596,0.0002738972],"domain_scores_gemma":[0.9994004,0.00009824696,0.000006048697,0.0003644634,0.00003946692,0.00009135105],"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":[0.000007043093,0.0001654071,0.03289054,0.00001739148,0.0000314054,0.00007373094,0.0007720619,0.04304046,0.0003313165,0.003754025,0.003199962,0.9157166],"study_design_scores_gemma":[0.003645923,0.003150819,0.2875499,0.0004476681,0.00002859799,0.0008826705,0.0002541313,0.611338,0.01165359,0.001594694,0.07628117,0.003172873],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03452671,0.00001477945,0.9595843,0.0001869884,0.00002227039,0.0001305143,6.459327e-8,0.0008567084,0.004677685],"genre_scores_gemma":[0.3941573,0.000002852438,0.5996141,0.00003193317,0.00002882186,0.00003705513,7.960298e-7,0.000009161395,0.006117965],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9125438,"threshold_uncertainty_score":0.6066469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111306009414679,"score_gpt":0.2426998679155015,"score_spread":0.2115868078213547,"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."}}