{"id":"W2162624365","doi":"10.1109/ase.2009.65","title":"Automatically Recommending Triage Decisions for Pragmatic Reuse Tasks","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Computer science; Reuse; Task (project management); Software engineering; Plan (archaeology); Process (computing); Triage; Software; Recommender system; Human–computer interaction; Code (set theory); Code reuse; Software system; World Wide Web; Programming language; Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005474057,0.002262491,0.001401598,0.004034041,0.001429586,0.00233718,0.002885281,0.002921952,0.005032648],"category_scores_gemma":[0.04158153,0.001220876,0.0008136127,0.001828337,0.0005043247,0.002870451,0.001005605,0.001866311,0.004017856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201806,"about_ca_system_score_gemma":0.003000685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544628,"about_ca_topic_score_gemma":0.03179238,"domain_scores_codex":[0.9965281,0.001317407,0.0003472742,0.0008337812,0.0007955009,0.0001780824],"domain_scores_gemma":[0.9682084,0.02173497,0.002278453,0.002732932,0.004237343,0.0008078465],"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":[0.001209767,0.001295369,0.03479424,0.0008314145,0.0002262604,0.0006966409,0.00373928,0.02153908,0.0262342,0.002069713,0.0254461,0.881918],"study_design_scores_gemma":[0.0004562681,0.0008464887,0.01894461,0.000299836,0.0004400495,0.000963076,0.003117724,0.905407,0.03714354,0.006173731,0.02585064,0.0003571508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2944412,0.0008603764,0.6442961,0.001860106,0.0002674447,0.001801298,0.001126109,0.04806284,0.007284452],"genre_scores_gemma":[0.3796346,0.0003712066,0.6109105,0.0002062571,0.0001036697,0.0003913148,0.001989802,0.0008928782,0.005499716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01544628,"threshold_uncertainty_score":0.03071272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942043419170047,"score_gpt":0.3359819658516376,"score_spread":0.2965615316599371,"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."}}