{"id":"W2529827878","doi":"","title":"System Analysis and Modeling: 4th International SDL and MSC Workshop, SAM 2004, Ottawa, Canada, June 1-4, 2004, Revised Selected Papers (Lecture Notes in Computer Science)","year":2005,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Operations research; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001853641,0.001590116,0.001395882,0.001773281,0.0008148405,0.003624137,0.001771402,0.0008179554,0.01687716],"category_scores_gemma":[0.002867343,0.001520984,0.001029654,0.002245902,0.001198242,0.001994425,0.001092194,0.00169707,0.006722073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004966268,"about_ca_system_score_gemma":0.008149493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280014,"about_ca_topic_score_gemma":0.2371391,"domain_scores_codex":[0.9990321,0.0001032606,0.00007072573,0.0001147227,0.000605141,0.0000740144],"domain_scores_gemma":[0.9982302,0.0004105013,0.00004761133,0.0002947895,0.0009265498,0.00009048219],"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":[0.0001686405,0.000106546,0.0009859962,0.000675573,0.000067051,0.0001480721,0.0004493045,0.02957395,0.007324553,0.02801412,0.3955607,0.5369255],"study_design_scores_gemma":[0.00005498995,0.0001008692,0.002105583,0.0003924137,0.0000979786,0.0003398888,0.0001868322,0.1296416,0.01575224,0.03542326,0.8158472,0.0000571472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006568413,0.02162594,0.8920502,0.005027803,0.002644343,0.0002756962,0.004309844,0.01072526,0.05677246],"genre_scores_gemma":[0.06400257,0.03251301,0.4344437,0.0009497664,0.001025048,0.0004406579,0.01685911,0.005180074,0.4445859],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8719986,"threshold_uncertainty_score":0.2545127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808444524500757,"score_gpt":0.2097138346921325,"score_spread":0.2019053901676317,"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."}}