{"meta":{"query_hash":"cb9c9c59b169","filters":{"venue":"THE SCIENTIFIC TEMPER"},"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/cb9c9c59b169","api":"https://metacan.xera.ac/api/v1/cohort?venue=THE+SCIENTIFIC+TEMPER"},"results":[{"id":"W4395090193","doi":"10.58414/scientifictemper.2024.15.1.31","title":"Ensuring ethical integrity and bias reduction in machine learning models","year":2024,"lang":"en","type":"article","venue":"THE SCIENTIFIC TEMPER","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Reduction (mathematics); Computer science; Academic integrity; Artificial intelligence; Mathematics","score_opus":0.07394090712796714,"score_gpt":0.2949799228178198,"score_spread":0.22103901568985268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395090193","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":[0.67789483,0.0012769713,0.3000923,0.014176977,0.004299956,0.0002484457,0.0000014942468,0.00064294564,0.0013660628],"genre_scores_gemma":[0.9930763,0.000012691017,0.0049731666,0.000039475275,0.00009305229,0.000006807081,0.000002012481,0.0000118676535,0.0017845968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799526,0.00047631605,0.0002245536,0.0006212111,0.00040378628,0.00027887197],"domain_scores_gemma":[0.999164,0.00029113443,0.00003881477,0.00040833847,0.000042036212,0.000055720553],"candidate_categories":["scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050388225,0.00013036214,0.0001276762,0.000258886,0.00049517164,0.0010821896,0.0005972795,0.00012479478,0.000016980546],"category_scores_gemma":[0.00033001788,0.00008900225,0.00004559112,0.00097154226,0.00029401848,0.00065203855,0.00055350893,0.0026207615,0.000035952],"study_design_candidate":"simulation_or_modeling","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":[0.000024859808,0.00005424866,0.0014451564,0.000150496,0.000038215323,0.000081385006,0.049330425,0.38671494,0.015173032,0.44023576,0.0009622721,0.10578922],"study_design_scores_gemma":[0.000080815924,0.000010879743,0.00032258494,0.00008919922,0.0000042865304,0.000058089558,0.00017176477,0.97514707,0.00027222166,0.02124,0.0024838191,0.00011927885],"about_ca_topic_score_codex":0.00022686913,"about_ca_topic_score_gemma":0.00003175132,"teacher_disagreement_score":0.58843213,"about_ca_system_score_codex":0.00006828687,"about_ca_system_score_gemma":0.00008677834,"threshold_uncertainty_score":0.99995476},"labels":[],"label_agreement":null},{"id":"W4409600077","doi":"10.58414/scientifictemper.2025.16.1.04","title":"Measuring the research productivity on environmental toxicology: A scientometric study","year":2025,"lang":"en","type":"article","venue":"THE SCIENTIFIC TEMPER","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Environmental toxicology; Medicine; Economics; Toxicity","score_opus":0.4015733195642862,"score_gpt":0.4618272750804459,"score_spread":0.060253955516159696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409600077","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":[0.98367155,0.00014258607,0.000029259789,0.0096941935,0.0024846105,0.00089205435,0.00002426716,0.00002252302,0.003038957],"genre_scores_gemma":[0.9611787,0.0000025696604,0.0000062433487,0.00023887202,0.00010272587,0.000038040624,0.0000017148036,0.0000049005957,0.038426217],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9923688,0.0013601817,0.0003696146,0.0009433362,0.00438044,0.00057760044],"domain_scores_gemma":[0.9954564,0.001856555,0.00009180176,0.0022540984,0.00026769142,0.000073484625],"candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.055767685,0.00014195988,0.00019604074,0.0010757558,0.005167367,0.0025315762,0.0029719959,0.000053125477,0.00025671071],"category_scores_gemma":[0.0050076037,0.00005730405,0.00012048855,0.0115973195,0.0020145732,0.0003505936,0.0010293531,0.0004986832,0.0006340249],"study_design_candidate":"observational","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":[0.0002525475,0.0063066464,0.1696861,0.0000117090185,0.00015389732,0.000013347106,0.028029602,0.00018802412,0.054197747,0.0037494227,0.5016151,0.23579587],"study_design_scores_gemma":[0.000474058,0.00018913388,0.82733196,0.000015770524,0.000018936877,0.000003074773,0.036123756,0.00016100108,0.0036069273,0.0043063834,0.1276078,0.00016119299],"about_ca_topic_score_codex":0.00004193277,"about_ca_topic_score_gemma":0.000035146815,"teacher_disagreement_score":0.6576459,"about_ca_system_score_codex":0.00014261555,"about_ca_system_score_gemma":0.00021348069,"threshold_uncertainty_score":0.99850386},"labels":[],"label_agreement":null},{"id":"W4416840672","doi":"10.58414/scientifictemper.2025.16.10.16","title":"A Scientometric Study of Quality Assessment and Higher Education","year":2025,"lang":"","type":"article","venue":"THE SCIENTIFIC TEMPER","topic":"Innovations and Analysis in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Higher education; Scientometrics; Quality (philosophy); Quality assessment; Bibliometrics; Sustainability","score_opus":0.20862562005692897,"score_gpt":0.5166763033860434,"score_spread":0.30805068332911445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416840672","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":[0.9708136,0.0009711198,0.00028745623,0.006153886,0.01211743,0.00060993916,0.00000995278,0.000009166427,0.0090274755],"genre_scores_gemma":[0.89417714,0.000013921833,0.00012851456,0.0002030625,0.00008550523,0.000041145246,0.0000056567264,0.000004537495,0.10534049],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99453473,0.00067428517,0.0015329509,0.0009613758,0.0019989265,0.00029772305],"domain_scores_gemma":[0.9937188,0.000656174,0.0007383606,0.0017628955,0.0030586638,0.00006508299],"candidate_categories":["bibliometrics","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018131634,0.00020124528,0.0004342532,0.0038541947,0.0022730825,0.0024351487,0.0011130475,0.00007420037,0.0011414915],"category_scores_gemma":[0.0005925916,0.000119774864,0.000109379835,0.035691116,0.0010698753,0.00047199862,0.0004220457,0.00019405539,0.00002352244],"study_design_candidate":"observational","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":[0.00002921213,0.009108123,0.24656564,0.00010715817,0.00020377648,1.5137925e-7,0.007730362,0.00009161757,0.003478633,0.19719346,0.041700937,0.49379092],"study_design_scores_gemma":[0.00031760102,0.000047588346,0.92262596,0.00006357875,0.00014502984,2.8247874e-7,0.042341467,0.00035328759,0.00005662151,0.012587793,0.021317855,0.00014294466],"about_ca_topic_score_codex":0.00053746224,"about_ca_topic_score_gemma":0.000037866048,"teacher_disagreement_score":0.6760603,"about_ca_system_score_codex":0.00012457892,"about_ca_system_score_gemma":0.0018255283,"threshold_uncertainty_score":0.9997716},"labels":[],"label_agreement":null}]}