{"meta":{"query_hash":"941fcb612bba","filters":{"venue":"Encyclopedia of Statistics in Quality and Reliability"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/941fcb612bba","api":"https://metacan.xera.ac/api/v1/cohort?venue=Encyclopedia+of+Statistics+in+Quality+and+Reliability"},"results":[{"id":"W1558634265","doi":"10.1002/9780470061572.eqr137","title":"Sampling in Industrial Standards","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"","keywords":"Standardization; Sampling (signal processing); Formative assessment; International standardization; Political science; Engineering; Telecommunications; Statistics; Mathematics; Law","score_opus":0.1641537713002866,"score_gpt":0.483510237691754,"score_spread":0.3193564663914674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558634265","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047381134,0.09206694,0.32318977,0.016414406,0.006851972,0.00033460962,0.0005426228,0.0007691843,0.5550924],"genre_scores_gemma":[0.3168809,0.18025915,0.28047523,0.010244782,0.010718496,0.0009573962,0.0022509359,0.0008726457,0.19734041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98556536,0.0060168533,0.0008973438,0.0009687899,0.0062655476,0.00028611821],"domain_scores_gemma":[0.98568374,0.009105135,0.0006755961,0.0016846502,0.0026963209,0.00015457146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008045192,0.0007905644,0.0006668195,0.004434163,0.0013737248,0.0046736016,0.0013641203,0.0020831898,0.012649682],"category_scores_gemma":[0.019813819,0.0003844141,0.000573437,0.006060968,0.004138334,0.0039235856,0.0022306151,0.0028602458,0.0044364724],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011820755,0.000021991542,0.00045389083,0.00038488788,0.000007945129,0.000073506824,0.0003530933,0.0021892553,0.00022704013,0.8087758,0.027379591,0.16012122],"study_design_scores_gemma":[0.000006358238,0.000041851068,0.00065169105,0.0010623864,0.00000873581,0.00022662026,0.0002478179,0.0030825941,0.001077047,0.40543282,0.58813834,0.000023641005],"about_ca_topic_score_codex":0.0036650628,"about_ca_topic_score_gemma":0.00222571,"teacher_disagreement_score":0.012649682,"about_ca_system_score_codex":0.0031412109,"about_ca_system_score_gemma":0.0028242616,"threshold_uncertainty_score":0.042547584},"labels":[],"label_agreement":null},{"id":"W1559739512","doi":"10.1002/9780470061572.eqr002","title":"Analysis of Variance","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variance (accounting); Analysis of variance; Statistics; One-way analysis of variance; Econometrics; Variable (mathematics); Mathematics","score_opus":0.010630437257359737,"score_gpt":0.2816093602867427,"score_spread":0.270978923029383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559739512","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018266438,0.008353109,0.83243936,0.004256842,0.0078031393,0.016842922,0.031448793,0.008699798,0.071889535],"genre_scores_gemma":[0.1848623,0.008450671,0.72729504,0.002231655,0.0020901205,0.036509424,0.013657071,0.0035426803,0.02136101],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9024129,0.044990715,0.007455346,0.009736651,0.034121137,0.0012833108],"domain_scores_gemma":[0.79464126,0.13110062,0.009086328,0.020119896,0.043916658,0.0011352213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047991965,0.0029447286,0.004521655,0.0072150324,0.0012764418,0.0078066206,0.003032384,0.0016882658,0.038001277],"category_scores_gemma":[0.19157222,0.00074244774,0.0033259857,0.008499163,0.0022010407,0.002639326,0.0029116038,0.0043248194,0.01095705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015928871,0.00053018436,0.007636413,0.0073474287,0.0023183553,0.000252812,0.0019940673,0.011107223,0.003708097,0.059095625,0.11477084,0.78964597],"study_design_scores_gemma":[0.0007458835,0.003673511,0.029674148,0.011503455,0.0026983407,0.0005909215,0.003269623,0.05402011,0.010151991,0.15460695,0.72850215,0.0005629076],"about_ca_topic_score_codex":0.0021932463,"about_ca_topic_score_gemma":0.0012542349,"teacher_disagreement_score":0.047991965,"about_ca_system_score_codex":0.0032289773,"about_ca_system_score_gemma":0.008044424,"threshold_uncertainty_score":0.2538088},"labels":[],"label_agreement":null},{"id":"W1564432298","doi":"10.1002/9780470061572.eqr012","title":"<scp>L</scp>atin Hypercube Designs","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Latin hypercube sampling; Orthogonality; Hypercube; Computer science; Stratification (seeds); Class (philosophy); Computer experiment; Strengths and weaknesses; Univariate; Space (punctuation); Theoretical computer science; Mathematics; Parallel computing; Simulation; Geometry; Statistics; Artificial intelligence; Multivariate statistics; Monte Carlo method","score_opus":0.1368736867543813,"score_gpt":0.455217255129216,"score_spread":0.3183435683748347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564432298","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038108819,0.0023423815,0.72729915,0.003193036,0.0021723402,0.004297615,0.004201876,0.0015992372,0.25108346],"genre_scores_gemma":[0.080951214,0.005477071,0.74834,0.0037107817,0.0014131231,0.02416633,0.0038296515,0.001523028,0.13058883],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98662436,0.007878798,0.00074805546,0.00082442566,0.0036749996,0.00024940094],"domain_scores_gemma":[0.9737906,0.014718002,0.0015952609,0.003180635,0.006350126,0.00036548512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010254853,0.0014511283,0.0014023139,0.0023979512,0.0010462896,0.003125245,0.0019717014,0.0016314635,0.12038416],"category_scores_gemma":[0.03482396,0.0006409972,0.00080119603,0.004249429,0.0024350272,0.0015739317,0.0017056057,0.0020046933,0.02448918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062977057,0.00021746768,0.00083015475,0.0020540054,0.00009649094,0.00029301675,0.0004067076,0.018577216,0.0022136879,0.33532357,0.19811648,0.4412415],"study_design_scores_gemma":[0.00043190937,0.00048986153,0.0014304626,0.0015679687,0.00007306287,0.0004115943,0.00021898081,0.05528195,0.006872287,0.22261623,0.7104903,0.00011546436],"about_ca_topic_score_codex":0.0022546174,"about_ca_topic_score_gemma":0.003257234,"teacher_disagreement_score":0.12038416,"about_ca_system_score_codex":0.0020166298,"about_ca_system_score_gemma":0.0041661295,"threshold_uncertainty_score":0.4027251},"labels":[],"label_agreement":null},{"id":"W1681165416","doi":"10.1002/9780470061572.eqr105","title":"Group Maintenance Policies","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Generalization; Feature (linguistics); State (computer science); Computer science; Group (periodic table); Mathematics; Algorithm","score_opus":0.01066407379303127,"score_gpt":0.2700272141882417,"score_spread":0.25936314039521047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1681165416","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102429174,0.0010028112,0.87092745,0.0009078517,0.00039106733,0.0002990578,0.00033067752,0.0020075217,0.02170438],"genre_scores_gemma":[0.8631154,0.00035408582,0.12580414,0.00022472854,0.0002164221,0.0002443466,0.00033969505,0.0002006512,0.009500527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974964,0.0007863871,0.00014994312,0.0004962257,0.00075246545,0.00031857807],"domain_scores_gemma":[0.993733,0.0022291422,0.00079151616,0.002138749,0.0007490713,0.00035846423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002948096,0.0006290313,0.00078736426,0.0008318433,0.00076136785,0.0013126688,0.0023824447,0.0009996926,0.0071285055],"category_scores_gemma":[0.007516185,0.00026255404,0.00047556954,0.0007814584,0.0009028027,0.0022757114,0.0013235185,0.0010786225,0.0014332838],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009588285,0.0005867571,0.0069305315,0.00042919756,0.00016959808,0.0006236782,0.0005751404,0.32459983,0.013112032,0.25689572,0.036160428,0.35895824],"study_design_scores_gemma":[0.0001870319,0.00044613695,0.0016318823,0.00007311441,0.000083679595,0.00071681075,0.00012738386,0.7619203,0.00993607,0.18451883,0.040308114,0.000050691644],"about_ca_topic_score_codex":0.00076895143,"about_ca_topic_score_gemma":0.0006965532,"teacher_disagreement_score":0.0071285055,"about_ca_system_score_codex":0.0010346816,"about_ca_system_score_gemma":0.0008843173,"threshold_uncertainty_score":0.023847222},"labels":[],"label_agreement":null},{"id":"W4234186239","doi":"10.1002/9780470061572.eqr292","title":"Process Capability Indices, Comparison of","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Perspective (graphical); Process (computing); Variety (cybernetics); Process capability; Function (biology); Yield (engineering); Interpretation (philosophy); Quality (philosophy); Process capability index; Management science; Statistics; Computer science; Econometrics; Mathematics; Engineering; Epistemology; Work in process; Artificial intelligence; Operations management; Biology; Philosophy; Thermodynamics; Evolutionary biology","score_opus":0.0964562583405649,"score_gpt":0.48415810950056704,"score_spread":0.3877018511600021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234186239","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15698239,0.012777115,0.6203115,0.0012633816,0.0006270805,0.0006707239,0.0049785706,0.0012017816,0.20118754],"genre_scores_gemma":[0.84697604,0.003937568,0.13449289,0.0001255975,0.00019828274,0.0005311936,0.003332549,0.00021349295,0.010192335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99459606,0.0012217637,0.00043549514,0.00057440146,0.0029882642,0.00018394762],"domain_scores_gemma":[0.9878906,0.0048985295,0.0020755064,0.0010396156,0.0037547208,0.00034101124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006976027,0.0012791594,0.0007792372,0.010412185,0.00047979248,0.0048674354,0.0011778763,0.0006914625,0.0081330445],"category_scores_gemma":[0.0330123,0.00019261168,0.00053539436,0.013955566,0.0011049571,0.0051209736,0.0023659226,0.0010540793,0.0012471356],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000304442,0.00017984523,0.02848751,0.00077610166,0.00022946685,0.00019654105,0.00084985734,0.05183494,0.0019547287,0.285079,0.0116346665,0.61847293],"study_design_scores_gemma":[0.00006490121,0.00077473396,0.09558812,0.001550521,0.00028419256,0.0006480989,0.0027684374,0.26821116,0.011952311,0.49853173,0.11934267,0.0002831456],"about_ca_topic_score_codex":0.0016852915,"about_ca_topic_score_gemma":0.0011209949,"teacher_disagreement_score":0.010412185,"about_ca_system_score_codex":0.0017214598,"about_ca_system_score_gemma":0.0012105792,"threshold_uncertainty_score":0.03689319},"labels":[],"label_agreement":null},{"id":"W4242396459","doi":"10.1002/9780470061572.eqr475","title":"Smoothed Function Estimation for Censored Data","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Censoring (clinical trials); Smoothing; Estimation; Statistics; Computer science; Hazard; Density estimation; Function (biology); Econometrics; Mathematics; Estimator; Engineering","score_opus":0.1111912858963067,"score_gpt":0.43401283877329805,"score_spread":0.3228215528769913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242396459","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014563309,0.0015137454,0.99579656,0.00014045389,0.00007325008,0.000012687833,0.000108836604,0.00027199698,0.00062617555],"genre_scores_gemma":[0.22579393,0.013173521,0.74407834,0.0006341385,0.0009763925,0.00045680383,0.0023953314,0.00073373446,0.011757773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99685955,0.0018515554,0.00012129365,0.0004198822,0.0006442515,0.00010353505],"domain_scores_gemma":[0.99083334,0.0062293396,0.0006124765,0.0013472349,0.00088262826,0.00009502822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005764222,0.0010188173,0.0015250964,0.0028762466,0.00031031898,0.0012953313,0.0020778745,0.0015292758,0.0041586743],"category_scores_gemma":[0.031914085,0.00053863006,0.0013906169,0.0028394621,0.0010426984,0.0017600198,0.0012319607,0.002248214,0.0017099548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015355942,0.00007087644,0.002616553,0.00086168904,0.0004896687,0.00041560965,0.00032369845,0.21275699,0.00366345,0.46446735,0.014985507,0.2991951],"study_design_scores_gemma":[0.000036654055,0.000055057848,0.002509381,0.00021782613,0.000088243185,0.00029494957,0.000040753825,0.5752926,0.002249977,0.39110416,0.02803336,0.000076970304],"about_ca_topic_score_codex":0.0021737278,"about_ca_topic_score_gemma":0.0009905725,"teacher_disagreement_score":0.005764222,"about_ca_system_score_codex":0.0007994579,"about_ca_system_score_gemma":0.00085321354,"threshold_uncertainty_score":0.030484438},"labels":[],"label_agreement":null},{"id":"W4249269907","doi":"10.1002/9780470061572.eqr291","title":"Process Capability Indices, <scp>B</scp> ayesian Estimation of","year":2007,"lang":"en","type":"other","venue":"Encyclopedia of Statistics in Quality and Reliability","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inference; Process (computing); Process capability; Estimator; Process capability index; Bayesian probability; Bayesian inference; Computer science; Cluster (spacecraft); Point process; Perspective (graphical); Focus (optics); Data mining; Statistics; Econometrics; Work in process; Mathematics; Engineering; Artificial intelligence; Operations management","score_opus":0.04939993989325606,"score_gpt":0.42280239080866616,"score_spread":0.3734024509154101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249269907","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024940327,0.001557685,0.9260873,0.0013254237,0.00021640948,0.00022905252,0.0009663412,0.0002606188,0.044416904],"genre_scores_gemma":[0.5735428,0.002826752,0.40588737,0.00024225078,0.000276762,0.00074969576,0.0026807778,0.00024429124,0.013549349],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937435,0.0025507254,0.0006140135,0.00089686643,0.0019919192,0.00020297588],"domain_scores_gemma":[0.97955555,0.010315064,0.0032166555,0.0019504215,0.004500998,0.00046138087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010862575,0.0013215541,0.0009769542,0.006223787,0.00093777553,0.005170016,0.0013299482,0.0013572883,0.008345346],"category_scores_gemma":[0.059875894,0.00046495767,0.0012728852,0.0049059894,0.002240704,0.0060029663,0.004122772,0.0029564856,0.0017194288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011591922,0.000088198474,0.026642125,0.0003591087,0.000269441,0.00012559869,0.0007152829,0.066064775,0.00070887135,0.64769936,0.014422175,0.24278922],"study_design_scores_gemma":[0.000029710343,0.00014523331,0.020932997,0.0007074466,0.00010658298,0.00018635065,0.00064385834,0.35425025,0.0022342296,0.58547324,0.035159905,0.00013016943],"about_ca_topic_score_codex":0.007136401,"about_ca_topic_score_gemma":0.00508464,"teacher_disagreement_score":0.010862575,"about_ca_system_score_codex":0.0019431832,"about_ca_system_score_gemma":0.0033318377,"threshold_uncertainty_score":0.057447493},"labels":[],"label_agreement":null}]}