{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"00a715964fa8","filters":{"venue":"Series on quality, reliability and engineering statistics"}},"results":[{"id":"W2496421917","doi":"10.1142/9789812799548_0007","title":"A GENERAL MAXIMAL PRECEDENCE TEST","year":2001,"lang":"en","type":"book-chapter","venue":"Series on quality, reliability and engineering statistics","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Test (biology); Computer science; Mathematics; Geology; Paleontology","retraction":null,"screen_n_in":null,"score":{"opus":0.024488944722467,"gpt":0.2612345267763741,"spread":0.2367455820539071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00121636,0.0004845871,0.0006000396,0.00006682592,0.0001888308,0.0002109934,0.0003496294,0.0003571252,0.001621141],"category_scores_gemma":[0.001183458,0.0004571457,0.00006148325,0.0000435036,0.0004632335,0.0002079606,0.0002118558,0.0003744162,0.0002059574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009582943,"about_ca_system_score_gemma":0.00008363334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281409,"about_ca_topic_score_gemma":0.00005322527,"domain_scores_codex":[0.9974561,0.00004599671,0.000673739,0.00076987,0.0005885968,0.0004656448],"domain_scores_gemma":[0.9982579,0.000522929,0.0002092777,0.0006233183,0.000149358,0.0002371745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001006361,0.00004986945,0.00002475694,0.0007840181,0.00001091818,0.00003841803,0.0001352771,0.001479061,0.01336529,0.9821481,0.0007838258,0.001079886],"study_design_scores_gemma":[0.0007217516,0.001981918,0.003384198,0.001045984,0.0001742023,0.0001716656,0.00003471486,0.001765711,0.007401471,0.2637383,0.7160799,0.003500187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1525656,0.001117067,0.09198868,0.001710451,0.01608312,0.003389424,0.02089295,0.002519673,0.709733],"genre_scores_gemma":[0.06215206,0.004045953,0.1427225,0.0005547196,0.001680141,0.00008036169,0.0004293795,0.0002613388,0.7880735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7184097,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W36686218","doi":"10.1142/9789812795250_0025","title":"MODELING THE INFLUENCE OF MAINTENANCE ACTIONS","year":2003,"lang":"en","type":"book-chapter","venue":"Series on quality, reliability and engineering statistics","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01788030236369404,"gpt":0.236952144218243,"spread":0.219071841854549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005874295,0.0004269992,0.0005314833,0.00007976028,0.0001103996,0.00004300806,0.0001932369,0.0003154171,0.00002295874],"category_scores_gemma":[0.0006941927,0.0003676364,0.00009063286,0.0000676893,0.0002796881,0.0001486813,0.00004655859,0.0006820781,0.000006022162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377628,"about_ca_system_score_gemma":0.00003384228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003320809,"about_ca_topic_score_gemma":0.00002739951,"domain_scores_codex":[0.9982391,0.00002936807,0.0007818406,0.0003500904,0.0002982618,0.000301367],"domain_scores_gemma":[0.998454,0.0003688585,0.0001037625,0.0007073023,0.0002769906,0.0000891394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001417452,0.000007152222,0.000002550174,0.0008209039,0.00003350809,8.004916e-7,0.0001031416,0.6989522,0.00001958251,0.2995412,0.0002889218,0.0002158662],"study_design_scores_gemma":[0.0004326511,0.0002775094,0.0003545168,0.001201945,0.0001883235,0.00002308,0.0001336203,0.7900161,0.00006502069,0.1330011,0.07283801,0.001468204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03875037,0.001302385,0.8763996,0.001086674,0.002656132,0.002414464,0.004441488,0.001220323,0.07172862],"genre_scores_gemma":[0.7282427,0.04648699,0.1345502,0.0007095726,0.0004600387,0.0002949162,0.0005935255,0.0009833808,0.08767868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7418494,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2493955108","doi":"10.1142/9789812703378_0003","title":"REGRESSION MODELS FOR RELIABILITY GIVEN THE USAGE ACCUMULATION HISTORY","year":2005,"lang":"en","type":"book-chapter","venue":"Series on quality, reliability and engineering statistics","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.1372842386679664,"gpt":0.3682188885356002,"spread":0.2309346498676338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006935781,0.0005733541,0.001018783,0.0002068686,0.0003584558,0.0001623593,0.0006789885,0.0005259363,0.0002572492],"category_scores_gemma":[0.007037966,0.0003899756,0.0003552231,0.00009474653,0.0004980036,0.0004090362,0.0002091366,0.0006864457,0.00003079334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005389388,"about_ca_system_score_gemma":0.0001433686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007713324,"about_ca_topic_score_gemma":0.000131419,"domain_scores_codex":[0.9950384,0.0002301746,0.001714105,0.00112944,0.001516481,0.0003713624],"domain_scores_gemma":[0.9886644,0.007875304,0.0006744271,0.001852058,0.0007497882,0.0001840527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004270668,0.00005390165,0.00005100359,0.0003264644,0.0000733015,0.000002433596,0.001106709,0.2867046,0.000006512839,0.6473336,0.02278776,0.04112665],"study_design_scores_gemma":[0.0001693459,0.0001212841,0.0006305333,0.00007349798,0.00008929638,0.000001322103,0.00004785132,0.09230786,0.000002235167,0.4672929,0.4388861,0.0003777585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00146619,0.00286303,0.9311,0.01045024,0.002732093,0.002503477,0.006245416,0.0003848684,0.04225471],"genre_scores_gemma":[0.05497121,0.008585142,0.1253437,0.0007700139,0.00144186,0.0001919086,0.0009218313,0.0003063646,0.807468],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8057563,"threshold_uncertainty_score":0.9998552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2483786394","doi":"10.1142/9789812811868_0017","title":"MANUFACTURING SYSTEMS ESTIMATION USING NEURAL NETWORK MODELS","year":2001,"lang":"en","type":"book-chapter","venue":"Series on quality, reliability and engineering statistics","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Estimation; Artificial neural network; Computer science; Artificial intelligence; Engineering; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03297783253150215,"gpt":0.2392061797649853,"spread":0.2062283472334831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005637893,0.0006265342,0.0008690528,0.0001309693,0.0001691935,0.0001219884,0.0001818361,0.0009732799,0.00001493281],"category_scores_gemma":[0.00007826767,0.0006923167,0.00008340776,0.00004303247,0.0001158994,0.0001986363,0.00006142929,0.00103098,0.000009064619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727389,"about_ca_system_score_gemma":0.00002312672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008194446,"about_ca_topic_score_gemma":0.00001283118,"domain_scores_codex":[0.9977996,0.00003918084,0.0009094813,0.0004389692,0.0003096931,0.0005030431],"domain_scores_gemma":[0.9987727,0.0003068289,0.0001635587,0.0005651772,0.00006890426,0.0001227926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000252679,0.000003436303,0.0000024564,0.0007621905,0.00007627621,0.00001441071,0.00002692454,0.7293008,0.000003524261,0.2680064,0.0002240207,0.001554277],"study_design_scores_gemma":[0.00024918,0.00008590022,0.00001560619,0.0004777981,0.00009448364,0.00004418451,0.00001540179,0.9499024,0.00000886544,0.037724,0.01067705,0.0007051764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02557294,0.005468416,0.8608302,0.000148412,0.01433404,0.003438519,0.002962153,0.005550936,0.0816944],"genre_scores_gemma":[0.9352415,0.002150738,0.0228365,0.00006590449,0.003272048,0.0001463797,0.0006984929,0.0008434944,0.03474497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9096686,"threshold_uncertainty_score":0.9995528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}