{"id":"W1874950958","doi":"10.5555/2394758.2394776","title":"Non-null references by default in java: alleviating the nullity annotation burden","year":2007,"lang":"en","type":"article","venue":"European Conference on Object-Oriented Programming","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Java; Programming language; Null (SQL); Java Modeling Language; Annotation; Semantics (computer science); Software engineering; Information retrieval; Natural language processing; Artificial intelligence; Java annotation; Database; Real time Java","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002663181,0.0004527336,0.0003206677,0.0002756533,0.0005057463,0.000553794,0.001941921,0.00009475479,0.0000173654],"category_scores_gemma":[0.00008966793,0.0003393029,0.0001041929,0.00161863,0.0001124473,0.000507176,0.000455283,0.0008024302,0.0001512449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007925911,"about_ca_system_score_gemma":0.0001223862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312803,"about_ca_topic_score_gemma":0.001256878,"domain_scores_codex":[0.9958768,0.0004957469,0.000808662,0.0010416,0.0007823512,0.0009948267],"domain_scores_gemma":[0.9977124,0.000365173,0.0004268811,0.0009707243,0.000316673,0.0002081464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001504675,0.000300636,0.003992025,0.00007840034,0.00005675966,0.0001445121,0.03702025,0.0001402954,0.003128459,0.01981165,0.0002727816,0.9349037],"study_design_scores_gemma":[0.007602854,0.003967092,0.1215024,0.002766059,0.0001204921,0.0001216193,0.04131934,0.08278305,0.02295995,0.003264399,0.7085125,0.00508025],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4221492,0.0004667039,0.4603837,0.004091681,0.001317015,0.001865698,0.00001567021,0.0009193418,0.108791],"genre_scores_gemma":[0.9884654,0.00002958427,0.009903958,0.001095777,0.0002186454,0.00002900932,0.00005487793,0.00003601391,0.0001667868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9298235,"threshold_uncertainty_score":0.9999059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157808694711692,"score_gpt":0.2588234480414769,"score_spread":0.2430425785703077,"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."}}