{"id":"W2996318555","doi":"10.22215/etd/2014-10501","title":"Modeling Use-Case Sequential Dependencies Using ACL","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Semantics (computer science); Programming language; Independence (probability theory); Ask price; Unary operation; Theoretical computer science; Mathematics","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":[0.00717781,0.001304218,0.0005993085,0.003894357,0.000973375,0.003935706,0.002513955,0.001487187,0.004972193],"category_scores_gemma":[0.02183187,0.001634393,0.00201798,0.001761273,0.001927949,0.00617631,0.002452318,0.002646119,0.001577535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665771,"about_ca_system_score_gemma":0.004182814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006698,"about_ca_topic_score_gemma":0.01074502,"domain_scores_codex":[0.992191,0.002870447,0.001164484,0.0007357398,0.002540184,0.0004981632],"domain_scores_gemma":[0.9752205,0.01509989,0.002370052,0.0038482,0.00313962,0.0003217066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002950069,0.0004811668,0.01434686,0.000863569,0.000157949,0.00224523,0.003113765,0.2525674,0.01469625,0.5188875,0.008670209,0.1836751],"study_design_scores_gemma":[0.00009013519,0.0000834572,0.0009139406,0.0001934344,0.0001141108,0.0006540266,0.0002676763,0.789705,0.01729902,0.1383695,0.05223063,0.00007908505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01411934,0.00007744147,0.9771538,0.0002972108,0.00001882815,0.0003539355,0.0005476596,0.003170768,0.004261044],"genre_scores_gemma":[0.19761,0.0002888699,0.7943364,0.0001948036,0.00004358377,0.0009521233,0.001997439,0.0008507502,0.003726055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006698,"threshold_uncertainty_score":0.03796035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783807356310412,"score_gpt":0.326196916639899,"score_spread":0.2478161810088578,"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."}}