{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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","author_layer_release":"2026-06-26"},"query_hash":"4b9febfdcb48","filters":{"venue":"International Journal of Metrology and Quality Engineering"}},"results":[{"id":"W2103612890","doi":"10.1051/ijmqe/2012039","title":"Effect of sampling strategy on uncertainty and precision of flatness inspection studied by dynamic minimum deviation zone evaluation","year":2013,"lang":"en","type":"article","venue":"International Journal of Metrology and Quality Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flatness (cosmology); Computation; Sampling (signal processing); Measurement uncertainty; Algorithm; Point (geometry); Mathematical optimization; Mathematics; Data point; Computer science; Process (computing); Standard deviation; Statistics; Geometry; Computer vision","authors":[{"name":"Ahmad Barari","is_ca":true},{"name":"Sergio Mordo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02308533813542653,"gpt":0.3387318946348797,"spread":0.3156465564994532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767927,0.0001089969,0.000292983,0.0002865669,0.00001385666,0.000006379114,0.00007509708,0.00009720414,0.000006091905],"category_scores_gemma":[0.0004058589,0.00009488043,0.00004189783,0.00006708944,0.00003328905,0.0001754767,0.00001354568,0.000171278,1.497756e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009012602,"about_ca_system_score_gemma":0.00000737925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074345,"about_ca_topic_score_gemma":0.000004141932,"domain_scores_codex":[0.9989427,0.0001150044,0.0004892852,0.00008557474,0.0002832738,0.00008415593],"domain_scores_gemma":[0.998902,0.0004623144,0.000235112,0.00005241925,0.0003183968,0.0000297406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004013773,0.00004621877,0.003975937,0.0001392753,0.0004497952,5.160762e-7,0.0001703271,0.1919428,0.7129253,0.0003327423,0.00001591923,0.08959983],"study_design_scores_gemma":[0.007182778,0.004639616,0.1370173,0.0005235242,0.0003730186,0.00005196068,0.000242087,0.4897141,0.3581021,0.001547054,0.0001313244,0.0004751392],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.88118,0.0009955304,0.1173173,0.00003164798,0.0002944492,0.0001305346,0.000003851791,0.00002274166,0.00002395598],"genre_scores_gemma":[0.9983304,0.0003258277,0.001279303,0.000004949846,0.00003466071,0.00000933253,0.000006728265,0.000007428066,0.000001349817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3548231,"threshold_uncertainty_score":0.3869112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1249757044","doi":"10.1051/ijmqe/2015011","title":"Forecast emergency room visits – a major diagnostic categories based approach","year":2015,"lang":"en","type":"article","venue":"International Journal of Metrology and Quality Engineering","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Mean absolute percentage error; Emergency department; Multivariate statistics; Statistics; Medicine; Mean squared error; Linear regression; Regression analysis; Mean absolute error; Predictive modelling; Emergency medicine; Computer science; Mathematics","authors":[{"name":"Abdeljelil Aroua","is_ca":true},{"name":"Georges Abdul-Nour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04155208395911807,"gpt":0.3225754413851299,"spread":0.2810233574260118,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006669429,0.0001081699,0.0002848308,0.000204207,0.00002256302,0.000006377036,0.0001029971,0.00006520539,0.00002600164],"category_scores_gemma":[0.002256938,0.00008731682,0.0001003634,0.00008502276,0.00001592433,0.0001023883,0.00003453019,0.0002095748,0.00000139523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004186732,"about_ca_system_score_gemma":0.00004863745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763194,"about_ca_topic_score_gemma":0.0000053021,"domain_scores_codex":[0.9990079,0.00004101432,0.0004350621,0.00009736631,0.00029383,0.0001248536],"domain_scores_gemma":[0.9989169,0.000188796,0.0001482304,0.00006052457,0.0005611471,0.0001244072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002876966,0.0010494,0.9055398,0.0005978156,0.006178097,0.0007619988,0.005270721,0.01713382,0.005321915,0.037492,0.00959783,0.008179653],"study_design_scores_gemma":[0.02610862,0.004938623,0.8386976,0.0006011217,0.002142177,0.004232085,0.006728887,0.03332816,0.007383945,0.004959834,0.06918711,0.00169185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012231,0.00882118,0.08307566,0.003071865,0.002748915,0.00008693052,0.00001561774,0.0000252464,0.0009314746],"genre_scores_gemma":[0.9957283,0.0002646835,0.003250149,0.0001653367,0.0005300511,0.000004169082,0.000009928308,0.000007497687,0.0000399299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09450515,"threshold_uncertainty_score":0.3560677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125948572","doi":"10.1051/ijmqe/2013051","title":"Performance study of dimensionality reduction methods for metrology of nonrigid mechanical parts","year":2013,"lang":"en","type":"article","venue":"International Journal of Metrology and Quality Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metrology; Dimensionality reduction; Aerospace; Computer science; Coordinate-measuring machine; Artificial intelligence; Reduction (mathematics); Curse of dimensionality; Process (computing); Automotive industry; Dimensional metrology; Engineering drawing; Computer vision; Mechanical engineering; Engineering; Mathematics; Geometry","authors":[{"name":"Hassan Radvar-Esfahlan","is_ca":true},{"name":"Antoine Tahan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04404298950805409,"gpt":0.3650482446317723,"spread":0.3210052551237182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948303,0.0001231865,0.000474295,0.0003297877,0.00001695448,0.000003438232,0.0001792703,0.0001194102,0.00001558942],"category_scores_gemma":[0.0004005319,0.0001108471,0.00009370398,0.00007959808,0.00004576379,0.0001999741,0.00003207608,0.0002131284,1.635859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004160566,"about_ca_system_score_gemma":0.00001165701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009988309,"about_ca_topic_score_gemma":0.000001420641,"domain_scores_codex":[0.9986373,0.0001218894,0.0008113221,0.0001062763,0.0001831875,0.0001400149],"domain_scores_gemma":[0.99863,0.0004133009,0.0002945737,0.00009983294,0.0005123097,0.00004995422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005863746,0.0004516014,0.01101738,0.0001845816,0.001822544,0.000001666033,0.0004336576,0.04289337,0.9080777,0.005022233,0.00005279676,0.0294561],"study_design_scores_gemma":[0.00829684,0.006578327,0.1199501,0.0001484222,0.0005627261,0.0002997261,0.001000669,0.08825149,0.7664755,0.005588984,0.002160621,0.0006866445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7723573,0.0002941003,0.226353,0.00006046761,0.00074603,0.0001419512,0.000002188899,0.00002160234,0.00002338518],"genre_scores_gemma":[0.9218854,0.0001080985,0.07786055,0.00001069347,0.00009868191,0.00002203893,0.000001663588,0.0000097477,0.000003145482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1495281,"threshold_uncertainty_score":0.4520214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}