{"id":"W2999637374","doi":"10.1145/3379106.3379118","title":"Winners of 2018 SIGAda Awards","year":2020,"lang":"en","type":"article","venue":"ACM SIGAda Ada Letters","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Management; Library science; Engineering; State (computer science); Art history; Art; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569595,0.0001964674,0.000406266,0.0001341206,0.00009197363,0.0001571227,0.002784549,0.00005390397,0.0007582472],"category_scores_gemma":[0.005112676,0.0001603714,0.0001753003,0.0008865781,0.0002350884,0.0005636432,0.001021694,0.0001706834,0.0006942341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003039526,"about_ca_system_score_gemma":0.00005346764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002838396,"about_ca_topic_score_gemma":0.0000387855,"domain_scores_codex":[0.9960068,0.0002307103,0.000823694,0.0006324497,0.001961186,0.0003451476],"domain_scores_gemma":[0.996743,0.001142532,0.0003358949,0.00146295,0.000091474,0.000224164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004828431,0.00003020082,0.001069241,0.00002542932,0.00005705524,0.00003994571,0.0009522394,0.0003250498,0.01389431,0.001297393,0.9715568,0.01070403],"study_design_scores_gemma":[0.0006608203,0.000140488,0.002732076,0.00002581991,0.00004177219,0.000001850935,0.002555579,0.0002638568,0.007193475,0.003810809,0.9821947,0.0003787339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5307932,0.0001149266,0.02869394,0.4341048,0.001190848,0.0004498667,0.0001717415,0.0001439626,0.00433669],"genre_scores_gemma":[0.8976725,0.00001325128,0.005864201,0.09580554,0.000256758,0.00000961095,0.00002625747,0.00002147194,0.0003304625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3668793,"threshold_uncertainty_score":0.8923206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2553201262360162,"score_gpt":0.3852128859244709,"score_spread":0.1298927596884548,"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."}}