{"id":"W2029458042","doi":"10.1109/wcre.2013.6671324","title":"An IDE-based context-aware meta search engine","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Search engine; Popularity; World Wide Web; Context (archaeology); Eclipse; Information retrieval; Web search engine; Search analytics; Web page; Web search query","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":[0.001198732,0.0008029002,0.001260517,0.002761822,0.0005086479,0.001340072,0.001589543,0.001077087,0.001631793],"category_scores_gemma":[0.003445896,0.0004400663,0.0007003993,0.001506913,0.0001581117,0.00204696,0.001188325,0.0007999315,0.001608205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003093758,"about_ca_system_score_gemma":0.001115474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937448,"about_ca_topic_score_gemma":0.007625957,"domain_scores_codex":[0.9989653,0.0001936376,0.0001184354,0.0001958626,0.0004322183,0.00009453259],"domain_scores_gemma":[0.9981982,0.0005250388,0.0001440414,0.000379044,0.0006126512,0.0001409992],"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":[0.001741369,0.001066198,0.02154418,0.0009464422,0.0002940798,0.00100006,0.0005912345,0.01144583,0.07043413,0.007128512,0.0174483,0.8663597],"study_design_scores_gemma":[0.0004304931,0.0008037356,0.0138273,0.000173672,0.0004703858,0.002807479,0.0005821256,0.8671418,0.06809753,0.007805708,0.0376266,0.0002330632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1260566,0.002864876,0.8259974,0.0004108639,0.0002711468,0.000549218,0.001761156,0.03120402,0.01088474],"genre_scores_gemma":[0.4294184,0.0006246131,0.5597755,0.0002611067,0.00009766073,0.0002428425,0.002862567,0.0004423214,0.006274969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002937448,"threshold_uncertainty_score":0.00633961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06438170058826184,"score_gpt":0.3158925826069591,"score_spread":0.2515108820186973,"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."}}