{"id":"W2079451898","doi":"10.5555/2819009.2819245","title":"4th international workshop on realizing AI synergies in software engineering (RAISE 2015)","year":2015,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial intelligence; Software; Software engineering; Work (physics); Engineering ethics; Engineering management; Engineering; Management science","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":[0.000573858,0.0004657767,0.0003319622,0.0009204705,0.00004268684,0.0005595012,0.00200364,0.0002038601,0.00005588645],"category_scores_gemma":[0.004326356,0.0005018869,0.0001145284,0.0004743415,0.00002074763,0.001414458,0.0004322105,0.0008428268,0.00008062732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954154,"about_ca_system_score_gemma":0.0001401034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007093424,"about_ca_topic_score_gemma":0.00000659666,"domain_scores_codex":[0.9972614,0.00003356085,0.0005236227,0.0007055732,0.0009690771,0.0005067358],"domain_scores_gemma":[0.9979064,0.0006894618,0.0001488879,0.0006362565,0.0003686622,0.0002502759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001298873,0.0002605847,0.004957533,0.00006142153,0.0002073935,0.0004844548,0.001288642,0.7096437,0.0002794243,0.2526676,0.01051259,0.01950683],"study_design_scores_gemma":[0.001582153,0.0002746823,0.004569884,0.002176138,0.00001467686,0.0001338873,0.0001398673,0.8699427,0.001758984,0.00153344,0.1160715,0.001802091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005289749,0.00011656,0.9844601,0.002539487,0.003947654,0.0002082868,0.00002393742,0.002445837,0.0009684025],"genre_scores_gemma":[0.729448,0.0001190453,0.2686847,0.0005130591,0.0005905908,0.000150902,0.00005657718,0.00008714451,0.0003499499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7241583,"threshold_uncertainty_score":0.9997433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04963756882473955,"score_gpt":0.3162310400608738,"score_spread":0.2665934712361342,"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."}}