{"id":"W1583419483","doi":"10.1007/978-3-642-05006-0_4","title":"Achieving High-Level Directives Using Strategy-Trees","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Tree (set theory); Operations research; Management strategy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001103032,0.0007529302,0.0007778901,0.0009790746,0.0003085586,0.0005382565,0.003671506,0.0003819118,0.000005649546],"category_scores_gemma":[0.0005287619,0.0007112423,0.0001461065,0.000759771,0.0005851235,0.001182703,0.001283793,0.00111578,0.000009660969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005171641,"about_ca_system_score_gemma":0.0004639419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475221,"about_ca_topic_score_gemma":0.00002896419,"domain_scores_codex":[0.9957701,0.00008264499,0.0005405491,0.00181753,0.0008975876,0.0008916131],"domain_scores_gemma":[0.9961949,0.001569967,0.0003176556,0.001534633,0.0002163195,0.0001664981],"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":[0.000001734515,0.000007664853,0.000009600541,0.0000110261,0.000006277603,0.00004802947,0.0001476068,0.4950371,0.0005781759,0.005654923,7.914824e-7,0.498497],"study_design_scores_gemma":[0.000340545,0.0003447526,0.00286155,0.001031309,0.00001946011,0.0001799835,4.300117e-7,0.3065417,0.004936085,0.6814845,0.0002277144,0.00203197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002679093,0.001037456,0.9953397,0.000143998,0.001754216,0.0002783575,0.000005905379,0.0006760214,0.0004964679],"genre_scores_gemma":[0.0451617,0.00005217046,0.9538719,0.0002491495,0.000406644,0.00000326953,0.000001867048,0.00004413277,0.0002091788],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6758296,"threshold_uncertainty_score":0.9995339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0690954671932154,"score_gpt":0.3021116071020777,"score_spread":0.2330161399088623,"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."}}