{"id":"W2964111353","doi":"10.48550/arxiv.1109.0776","title":"SAGA: A DSL for Story Management","year":2011,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Digital subscriber line; Parsing; Java; Programming language; Set (abstract data type); Vocabulary; Representation (politics); Code (set theory); Software engineering; Human–computer interaction; World Wide Web; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003613413,0.001527366,0.001081717,0.001823209,0.001019956,0.004214723,0.003161881,0.002162753,0.01268915],"category_scores_gemma":[0.006796048,0.002175591,0.002200421,0.00106178,0.001584046,0.004529345,0.003370304,0.004217538,0.006791688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001850848,"about_ca_system_score_gemma":0.002643678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187532,"about_ca_topic_score_gemma":0.006163641,"domain_scores_codex":[0.9978715,0.0005391111,0.0004110957,0.0003621301,0.0006972107,0.0001188812],"domain_scores_gemma":[0.9960237,0.002002241,0.0002777218,0.0008591391,0.0005602085,0.00027705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005610384,0.0003609505,0.002917645,0.002497261,0.0003317313,0.001454194,0.00420705,0.04668486,0.02817115,0.3622297,0.1635892,0.3869952],"study_design_scores_gemma":[0.0001581525,0.0001011203,0.000416634,0.0002129222,0.0001045269,0.0007652275,0.0002251394,0.126071,0.01643438,0.07870559,0.7766666,0.0001387378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001045359,0.0001130053,0.9369003,0.0002590078,0.0001082742,0.000214423,0.002883323,0.05584142,0.002634889],"genre_scores_gemma":[0.04206784,0.0007571081,0.90784,0.0007656883,0.0001322008,0.00108464,0.01537636,0.02237217,0.009604056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268915,"threshold_uncertainty_score":0.04244941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187642278106209,"score_gpt":0.2244425686171646,"score_spread":0.1825661458361025,"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."}}