{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01113115,0.002602043,0.001835494,0.005012576,0.004817329,0.01599403,0.002021763,0.004802819,0.1427292],"category_scores_gemma":[0.01809884,0.000601854,0.001366241,0.003136334,0.001131783,0.004773174,0.007907355,0.006190983,0.1425992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003613044,"about_ca_system_score_gemma":0.007851921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003948247,"about_ca_topic_score_gemma":0.008411191,"domain_scores_codex":[0.989229,0.0007484951,0.0004773128,0.0006362899,0.006940759,0.001968239],"domain_scores_gemma":[0.9698476,0.0007948991,0.0005616674,0.0008682147,0.01431286,0.01361476],"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":[0.00005135446,0.00004218947,0.0001796415,0.00005481208,0.00000580152,0.00005606269,0.00002482735,0.00004842336,0.00007797228,0.001315259,0.9684311,0.0297127],"study_design_scores_gemma":[0.00001863707,0.00003617972,0.0005790354,0.00006470865,0.000005463988,0.00003884661,0.0001285339,0.00008836849,0.0001128426,0.000839096,0.9980744,0.00001380822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.005555152,0.01965418,0.00441611,0.1182084,0.5884581,0.0006345958,0.004829661,0.002475877,0.2557679],"genre_scores_gemma":[0.01609252,0.01308485,0.00267044,0.01091312,0.06876045,0.000656374,0.006627537,0.001516179,0.8796786],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1427292,"threshold_uncertainty_score":0.4774767,"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."}}