{"id":"W4399771376","doi":"10.32920/26052910.v1","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; Computer network","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":[0.001678943,0.0003763425,0.0005034207,0.0003977061,0.0001293399,0.0006668758,0.001029345,0.0005248096,0.003136235],"category_scores_gemma":[0.01477248,0.0002348141,0.0003299454,0.0002957216,0.0005353689,0.0008572711,0.0008367443,0.0006702371,0.0004102042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902968,"about_ca_system_score_gemma":0.0004690813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069593,"about_ca_topic_score_gemma":0.001200657,"domain_scores_codex":[0.999049,0.0002509021,0.0001197416,0.0001769436,0.0002839524,0.0001195614],"domain_scores_gemma":[0.9902433,0.004338997,0.001959145,0.002474347,0.000445188,0.0005391614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02577836,0.0108438,0.09106662,0.001245926,0.0007219453,0.0004873472,0.003488669,0.003968125,0.2462721,0.00123651,0.00122457,0.6136661],"study_design_scores_gemma":[0.002595748,0.05176893,0.7423756,0.0004383423,0.001125314,0.001417798,0.001718975,0.009849341,0.1709542,0.007363861,0.01017594,0.0002160255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969566,0.0002678781,0.001225745,0.000107937,0.00001832667,0.00002419298,0.00004664199,0.00008729359,0.001265449],"genre_scores_gemma":[0.9961973,0.0001841315,0.002475803,0.0001367717,0.00002914548,0.00002834243,0.0001107001,0.00003160657,0.0008062701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003136235,"threshold_uncertainty_score":0.01049179,"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."}}