{"meta":{"query_hash":"de96fd6d4d34","filters":{"venue":"American Scientific Research Journal for Engineering, Technology, and Sciences"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/de96fd6d4d34","api":"https://metacan.xera.ac/api/v1/cohort?venue=American+Scientific+Research+Journal+for+Engineering%2C+Technology%2C+and+Sciences"},"results":[{"id":"W2560770596","doi":"","title":"Unusual Cases of Spinal Cord Infarct Secondary to Fibrocartiliginous Embolism in Minor Injuries or Exercises; Review of Case Reports and Literature","year":2016,"lang":"en","type":"article","venue":"American Scientific Research Journal for Engineering, Technology, and Sciences","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","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":"McMaster University","funders":"","keywords":"Medicine; Spinal cord; Infarction; Spinal cord injury; Surgery; Embolism; Anterior spinal artery; Physical medicine and rehabilitation; Anesthesia; Myocardial infarction; Cardiology","score_opus":0.05283195731182076,"score_gpt":0.40516312464625703,"score_spread":0.35233116733443626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560770596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774118,0.02071384,0.00007439607,0.0011676517,0.000080859725,0.0004791343,0.000028201368,0.000014207426,0.000029889008],"genre_scores_gemma":[0.993494,0.00345018,0.0027480097,0.000017471688,0.000017465236,0.000043346885,0.0000010850171,0.0000062636136,0.00022220821],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.9983642,0.000027067674,0.00044222845,0.0003635256,0.00041641205,0.00038658004],"domain_scores_gemma":[0.99888873,0.00017944037,0.00015628125,0.00022127824,0.00032628668,0.0002279572],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017764977,0.00012378879,0.00043472098,0.0016993318,0.0001903668,0.000063991996,0.000119819015,0.00004324713,0.000009564494],"category_scores_gemma":[0.0019256511,0.00006816137,0.000053608404,0.0025402464,0.0029091686,0.00019097643,0.00010832735,0.00017134975,2.1078259e-7],"study_design_candidate":"design_other","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":[0.002234581,0.00058724114,0.07718628,0.008280138,0.00019231711,0.022325285,0.001425136,0.0000034124791,0.018362613,0.0020382362,0.004132957,0.8632318],"study_design_scores_gemma":[0.006787514,0.10079505,0.09720466,0.12016634,0.00095102837,0.4566144,0.041314647,0.00043095218,0.11512504,0.008205538,0.050288983,0.0021158508],"about_ca_topic_score_codex":0.000025161276,"about_ca_topic_score_gemma":0.00001638883,"teacher_disagreement_score":0.86111593,"about_ca_system_score_codex":0.000028749433,"about_ca_system_score_gemma":0.0003807871,"threshold_uncertainty_score":0.9998043},"labels":[],"label_agreement":null},{"id":"W2591092135","doi":"","title":"Cognition and Cognitive Dynamic Systems Concepts and Applications in Project Risk Management","year":2017,"lang":"en","type":"article","venue":"American Scientific Research Journal for Engineering, Technology, and Sciences","topic":"Cognitive Science and Mapping","field":"Computer Science","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":"McMaster University","funders":"","keywords":"Cognition; Risk analysis (engineering); Computer science; Process (computing); Risk management; Implementation; Cognitive science; Control (management); Management science; Psychology; Artificial intelligence; Engineering; Software engineering; Medicine","score_opus":0.044048880870625556,"score_gpt":0.4051027240717987,"score_spread":0.3610538432011732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591092135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6989466,0.0020045328,0.2960122,0.0005733818,0.00036042274,0.0013965236,0.000021379756,0.000073849624,0.00061111525],"genre_scores_gemma":[0.9931789,0.0011562357,0.0053067016,0.000005111367,0.00001687552,0.0001932727,7.4629634e-7,0.0000039645993,0.00013819597],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805933,0.00005610654,0.00020533607,0.0006729035,0.00044111468,0.00056521926],"domain_scores_gemma":[0.99886096,0.0002791793,0.00019023362,0.0002437812,0.00030320094,0.00012263103],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0045860414,0.000120735356,0.00018165927,0.0020605999,0.0033700273,0.0027168896,0.0009212119,0.000039234583,2.6430757e-7],"category_scores_gemma":[0.00064554694,0.00009862282,0.000021187445,0.0017484209,0.0059425863,0.0009373315,0.00055678556,0.00033926032,8.607989e-7],"study_design_candidate":"design_other","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":[0.000010870152,0.00007653752,0.024102185,0.00011922618,0.000050658644,0.000031483072,0.001528289,0.000047271413,0.0015200325,0.09800875,0.00012345453,0.87438124],"study_design_scores_gemma":[0.0031626842,0.0025871068,0.13384177,0.0016515979,0.00009069717,0.0009353164,0.11008653,0.63382345,0.00086668594,0.07943124,0.03200969,0.0015132384],"about_ca_topic_score_codex":0.000051565665,"about_ca_topic_score_gemma":0.0000447512,"teacher_disagreement_score":0.872868,"about_ca_system_score_codex":0.00003051787,"about_ca_system_score_gemma":0.00009294325,"threshold_uncertainty_score":0.9983184},"labels":[],"label_agreement":null},{"id":"W2738341357","doi":"","title":"EEG-Based Movement Imagery Classification Using Machine Learning Techniques and Welch’s Power Spectral Density Estimation","year":2017,"lang":"en","type":"article","venue":"American Scientific Research Journal for Engineering, Technology, and Sciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Brain–computer interface; Electroencephalography; Artificial intelligence; Computer science; Spectral density; Motor imagery; Pattern recognition (psychology); Movement (music); Interface (matter); Speech recognition; Psychology; Neuroscience; Telecommunications","score_opus":0.07824246961358017,"score_gpt":0.39170753276899634,"score_spread":0.31346506315541617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738341357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95022213,0.00012150422,0.046295393,0.0025707893,0.0003387714,0.00025407728,0.000005356238,0.000115182505,0.000076802964],"genre_scores_gemma":[0.9680284,0.000053855903,0.03169579,0.000024937217,0.00003105279,0.000012279918,4.884757e-7,0.0000098782475,0.00014331668],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792516,0.0000760805,0.00024522375,0.000596938,0.00058430503,0.00057229365],"domain_scores_gemma":[0.9988893,0.00024570042,0.0002638217,0.0002797989,0.00018250475,0.0001388538],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0035597875,0.00014799822,0.00019201552,0.0013889973,0.0042239954,0.0022042745,0.0007838276,0.0000549691,0.000003803225],"category_scores_gemma":[0.0019314336,0.00011927942,0.0000437842,0.00076611096,0.005318143,0.0006341213,0.00023324089,0.0005626129,9.997051e-7],"study_design_candidate":"bench_or_experimental","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":[0.000019784224,0.000046476885,0.008450196,0.000023788156,0.0000058607493,0.000021920301,0.0001793141,0.0007190703,0.95687205,0.004763187,0.00014233025,0.028756017],"study_design_scores_gemma":[0.00016740155,0.000575799,0.002140398,0.00008127858,0.0000045735555,0.00016502313,0.00052092545,0.6042653,0.3870737,0.0021071616,0.002716527,0.00018193554],"about_ca_topic_score_codex":0.000048164373,"about_ca_topic_score_gemma":0.000010195393,"teacher_disagreement_score":0.6035462,"about_ca_system_score_codex":0.0000772843,"about_ca_system_score_gemma":0.000109325,"threshold_uncertainty_score":0.9988315},"labels":[],"label_agreement":null}]}