{"id":"W4399771306","doi":"10.32920/26052910","title":"Does Interpolated Testing Reduce Proactive Interference","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Interference (communication); Computer science; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0005134431,0.000383574,0.0003947019,0.0002000904,0.00007766626,0.0006401404,0.001893561,0.0003307518,0.00002823748],"category_scores_gemma":[0.0002523577,0.0001948602,0.0001491768,0.0004790733,0.00007988042,0.0002451505,0.007213625,0.001371174,0.0003397375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238899,"about_ca_system_score_gemma":0.0004943645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003773636,"about_ca_topic_score_gemma":0.0000131123,"domain_scores_codex":[0.9974698,0.00009421621,0.0005357108,0.001271368,0.000272628,0.0003562389],"domain_scores_gemma":[0.9978108,0.0002011985,0.0001737402,0.001388561,0.0003217708,0.0001039105],"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":[0.00007866974,0.0004400068,0.009971355,0.009337055,0.00133526,0.0002109452,0.02771122,0.000576308,0.0041434,0.01484222,0.01013433,0.9212192],"study_design_scores_gemma":[0.0003193548,0.0003825955,0.004169981,0.00743839,0.0001281055,0.0001103649,0.0005545149,0.6293937,0.04731129,0.3069953,0.0008011903,0.002395211],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3955871,0.0007054383,0.4734172,0.004621421,0.03988338,0.003162217,0.0000368064,0.009887708,0.07269871],"genre_scores_gemma":[0.9527847,0.000008420476,0.04513913,0.00007226301,0.0002418996,0.0001330064,0.000003821263,0.00002037425,0.001596367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.918824,"threshold_uncertainty_score":0.8991267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396646400930549,"score_gpt":0.2866368171164456,"score_spread":0.2526703531071401,"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."}}