{"id":"W2052027666","doi":"10.1109/icsme.2014.109","title":"SurfClipse: Context-Aware Meta-search in the IDE","year":2014,"lang":"en","type":"article","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Debugging; Context (archaeology); Relevance (law); Web page; Software; Search engine","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":[0.002604641,0.001169612,0.001474766,0.004524536,0.0007539777,0.002650861,0.00206929,0.001667072,0.004408236],"category_scores_gemma":[0.008695883,0.0008361257,0.001091165,0.001839007,0.0005266972,0.004764954,0.003348828,0.001087292,0.00210013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752383,"about_ca_system_score_gemma":0.001178087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607071,"about_ca_topic_score_gemma":0.005484206,"domain_scores_codex":[0.9984176,0.0004192045,0.0001956586,0.0003222365,0.0004961744,0.0001490611],"domain_scores_gemma":[0.9958039,0.00246938,0.0003112087,0.0007583037,0.0003413773,0.0003157374],"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":[0.00235711,0.0007200082,0.01963656,0.002135099,0.0004709959,0.001569717,0.002755648,0.0142884,0.03601501,0.02131891,0.04874622,0.8499863],"study_design_scores_gemma":[0.001178331,0.001203228,0.01158965,0.000976147,0.0004695567,0.002338327,0.001936455,0.6479529,0.06628244,0.06786645,0.1976817,0.000524813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04264605,0.00273628,0.8133934,0.0004975128,0.0001723904,0.000606436,0.002682258,0.1274266,0.009839172],"genre_scores_gemma":[0.2550708,0.000994149,0.7296921,0.0004099284,0.0001077406,0.0003604106,0.004309663,0.003791539,0.005263737],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004524536,"threshold_uncertainty_score":0.01474702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08750647120375299,"score_gpt":0.2951268542919903,"score_spread":0.2076203830882373,"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."}}