{"id":"W3096528854","doi":"10.1145/3417990.3421998","title":"Gentleman","year":2020,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Usability; Notation; Programming language; Correctness; Generator (circuit theory); Extensibility; Table (database); Projection (relational algebra); Extension (predicate logic); Software engineering; Human–computer interaction; Algorithm; Data mining; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001811249,0.001003244,0.0005805254,0.001602381,0.00105883,0.003284935,0.00206357,0.001419298,0.2127143],"category_scores_gemma":[0.01002272,0.0008397555,0.001157029,0.001306782,0.0007420007,0.004754094,0.003505433,0.002519906,0.1223391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005983593,"about_ca_system_score_gemma":0.001426034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007839406,"about_ca_topic_score_gemma":0.00193617,"domain_scores_codex":[0.9981194,0.0003891201,0.0001525129,0.0004536014,0.0007859655,0.0000992855],"domain_scores_gemma":[0.9964604,0.001291187,0.0001795059,0.0008869038,0.000892188,0.0002898904],"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":[0.0001605063,0.00006513199,0.0005075608,0.0005494336,0.0000245729,0.0004598265,0.0005967803,0.001336151,0.004380352,0.1027949,0.5265574,0.3625674],"study_design_scores_gemma":[0.00002074023,0.0000188245,0.00009790206,0.00006539028,0.000007485619,0.0004716864,0.00003862801,0.003180319,0.001509849,0.01500623,0.9795634,0.00001958925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002840152,0.001497693,0.6704037,0.005180082,0.003066786,0.0004762486,0.004275849,0.06767364,0.2445859],"genre_scores_gemma":[0.02688444,0.002243313,0.359508,0.003045307,0.001109825,0.0006717232,0.008599324,0.0246552,0.5732829],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7872857,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191913574534955,"score_gpt":0.203750069018505,"score_spread":0.1818309332731555,"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."}}