{"id":"W1982627696","doi":"10.5555/2819009.2819213","title":"Towards generation of software development tasks","year":2015,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Task (project management); Decomposition; Context (archaeology); Process (computing); Software engineering; Task analysis; Software development; Software; Human–computer interaction; Programming language; Systems engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003938331,0.0002164032,0.0001983307,0.0003808744,0.00003164326,0.0001396032,0.001210202,0.00009212061,0.00004183068],"category_scores_gemma":[0.002756765,0.0002252878,0.00005543421,0.0002931547,0.00002082896,0.0004193751,0.0003025519,0.0002379671,0.00007525944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875094,"about_ca_system_score_gemma":0.0004500978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644297,"about_ca_topic_score_gemma":0.000002119523,"domain_scores_codex":[0.9979137,0.00001964083,0.0003628371,0.0003841626,0.001031097,0.0002886184],"domain_scores_gemma":[0.9984298,0.0001586041,0.00008166775,0.0004196459,0.0007084581,0.0002017723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009167876,0.0006675114,0.04562433,0.000281385,0.0007246792,0.0002499161,0.009413267,0.3246703,0.01045407,0.2694106,0.0077063,0.330706],"study_design_scores_gemma":[0.002899335,0.0006274332,0.0502792,0.0007889072,0.00001604196,0.0001198843,0.0001145096,0.7567097,0.151888,0.001273602,0.0330353,0.002248088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06555242,0.00004971496,0.9319112,0.0001365901,0.001473075,0.0001160612,0.000007879774,0.0005557857,0.0001973086],"genre_scores_gemma":[0.6635239,0.00000492144,0.3360951,0.0000324196,0.0001304139,0.00003916105,0.00002523647,0.00001979532,0.0001291419],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5979714,"threshold_uncertainty_score":0.9186969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056023209809404,"score_gpt":0.3077589008172072,"score_spread":0.2021565798362668,"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."}}