{"id":"W2048234728","doi":"10.1145/2578903.2579142","title":"<b>HiLPR</b>","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Mitacs; Curtin University of Technology; International Business Machines Corporation","keywords":"Leverage (statistics); Computer science; Pipeline (software); Representation (politics); Queue; Domain (mathematical analysis); Software; Theoretical computer science; Parallel computing; Software engineering; Programming language; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001497108,0.0005223578,0.0002977713,0.000928584,0.0006230565,0.002791977,0.001204928,0.001868369,0.03764013],"category_scores_gemma":[0.006097178,0.0004946648,0.0004071871,0.001243012,0.001812021,0.005964966,0.002194395,0.001764613,0.01709446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930595,"about_ca_system_score_gemma":0.0009320901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002303878,"about_ca_topic_score_gemma":0.003255229,"domain_scores_codex":[0.9985828,0.0004261556,0.0001354387,0.0002250969,0.0005122165,0.000118178],"domain_scores_gemma":[0.9961792,0.0007745065,0.0002234096,0.001924632,0.0007630045,0.0001353367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001840734,0.00005832863,0.0008844442,0.0003663684,0.00001706032,0.0003422991,0.0005452208,0.004181735,0.02106693,0.3052844,0.1441247,0.5229443],"study_design_scores_gemma":[0.0000525963,0.0001252716,0.0009202974,0.000145565,0.00001479132,0.001506025,0.0002384238,0.0611017,0.02648874,0.1632538,0.7460744,0.00007842479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003028468,0.0001376143,0.9472346,0.002323372,0.0003004276,0.00008055136,0.0002812227,0.01317169,0.03344206],"genre_scores_gemma":[0.0852396,0.0004566193,0.8665079,0.003010825,0.0002835418,0.0002902694,0.001037585,0.005067882,0.03810573],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9623598,"threshold_uncertainty_score":0.1259187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284020017584952,"score_gpt":0.259030573852163,"score_spread":0.1306285720936678,"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."}}