{"meta":{"query_hash":"827cf34c2549","filters":{"venue":"International Journal of Artificial Intelligence Data Science and Machine Learning"},"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/827cf34c2549","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Artificial+Intelligence+Data+Science+and+Machine+Learning"},"results":[{"id":"W4411653938","doi":"10.63282/3050-9262.ijaidsml-v5i4p105","title":"The AI Revolution in Healthcare DevOps: What You Need to Know","year":2024,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence Data Science and Machine Learning","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"DevOps; Health care; Need to know; Computer science; Computer security; Political science; Software engineering","score_opus":0.14530983724105878,"score_gpt":0.4663716995074374,"score_spread":0.3210618622663786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411653938","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044893447,0.2173591,0.002278895,0.75253946,0.023736572,0.000026818263,0.00009239247,0.000120529505,0.0033971793],"genre_scores_gemma":[0.019349277,0.52867967,0.009038334,0.36300716,0.073223315,0.00024003883,0.00031575537,0.00024758483,0.005898896],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9877384,0.006184655,0.00073618355,0.0010558063,0.002707497,0.0015774929],"domain_scores_gemma":[0.89694726,0.06907204,0.0032214231,0.0040221834,0.014511497,0.012225605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020628858,0.0021189544,0.0026177594,0.0035567384,0.0070995176,0.024431834,0.004648943,0.02229279,0.015536135],"category_scores_gemma":[0.04891552,0.0010325679,0.002051621,0.0040602684,0.019652588,0.0717544,0.008927683,0.036682647,0.0069870083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012690549,0.00019182416,0.0016281964,0.0037614307,0.00008504511,0.0006134985,0.004553735,0.00046350693,0.0002399447,0.07238788,0.7215353,0.19441271],"study_design_scores_gemma":[0.000031444397,0.000079927595,0.000729537,0.0077419183,0.000031532683,0.0006470598,0.010314946,0.00042321067,0.00013137853,0.1267038,0.85303813,0.00012716884],"about_ca_topic_score_codex":0.008768808,"about_ca_topic_score_gemma":0.012948215,"teacher_disagreement_score":0.024431834,"about_ca_system_score_codex":0.006421467,"about_ca_system_score_gemma":0.01665433,"threshold_uncertainty_score":0.10909712},"labels":[],"label_agreement":null},{"id":"W7153116829","doi":"10.63282/3050-9262.ijaidsml-v5i3p121","title":"AI-Augmented Software Engineering: A Holistic Approach to Reliability, Security, and Lifecycle Optimization","year":2024,"lang":"","type":"article","venue":"International Journal of Artificial Intelligence Data Science and Machine Learning","topic":"Software Reliability and Analysis Research","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Software quality; Software development; Quality (philosophy); Vulnerability (computing); Implementation; Model-driven architecture; Software system; Software; System lifecycle","score_opus":0.0680045401483019,"score_gpt":0.3636618901234947,"score_spread":0.2956573499751928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7153116829","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":[0.005005201,0.010784898,0.9468923,0.006426266,0.0002688666,0.00009001911,0.00008622792,0.00048246316,0.02996379],"genre_scores_gemma":[0.27603567,0.018029971,0.6935602,0.001207454,0.000954317,0.00035638563,0.00021756682,0.00022015683,0.009418286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979114,0.0008860109,0.000116533745,0.00032584104,0.0006302802,0.00012987194],"domain_scores_gemma":[0.99771464,0.0013087017,0.00018395107,0.0003625327,0.00025506146,0.00017502336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020304245,0.0015615225,0.00081388454,0.0027298243,0.0011027108,0.006522796,0.0030102015,0.0023758307,0.0027787506],"category_scores_gemma":[0.002843986,0.0007377013,0.0012222094,0.0022678259,0.0080509065,0.0060966983,0.004289697,0.0046358374,0.0005800839],"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":[0.000029611747,0.00009306166,0.00081043894,0.0005183649,0.000100276,0.0001931879,0.00073347363,0.077220246,0.0021885314,0.83419865,0.0029663926,0.08094771],"study_design_scores_gemma":[0.0000129366845,0.0000806612,0.00045896228,0.0003245467,0.000050829898,0.00013293761,0.00037884366,0.14804946,0.001070287,0.80249953,0.04689464,0.000046402245],"about_ca_topic_score_codex":0.0031857817,"about_ca_topic_score_gemma":0.002857049,"teacher_disagreement_score":0.006522796,"about_ca_system_score_codex":0.0026800856,"about_ca_system_score_gemma":0.003876733,"threshold_uncertainty_score":0.01944542},"labels":[],"label_agreement":null},{"id":"W7162292117","doi":"10.63282/3050-9262.ijaidsml-v3i3p119","title":"Preparing Enterprise Data for LLM-Assisted Customer Issue Analysis: A Governance-Centric Framework","year":2022,"lang":"","type":"article","venue":"International Journal of Artificial Intelligence Data Science and Machine Learning","topic":"Data Quality and Management","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":"Institute on Governance","funders":"","keywords":"Data governance; Enterprise data management; Scalability; Audit; Metadata; Corporate governance; Enterprise information system; Enterprise architecture; Customer intelligence; Enterprise information security architecture","score_opus":0.18746334802245912,"score_gpt":0.4515668028765007,"score_spread":0.2641034548540416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162292117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007895473,0.00022789938,0.9829034,0.002322567,0.000031094394,0.00045459234,0.00028274144,0.003613748,0.002268504],"genre_scores_gemma":[0.13609323,0.00023516343,0.8600737,0.00042123676,0.00005211572,0.00038958475,0.0013315738,0.00023635123,0.0011671543],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98886967,0.005390892,0.0011805142,0.0018304549,0.002089024,0.00063953554],"domain_scores_gemma":[0.98678744,0.0042605796,0.0016802963,0.0044868495,0.0020439308,0.0007409746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01732388,0.00088215823,0.00069821207,0.005363441,0.0017155879,0.0071041775,0.0027248466,0.0015262789,0.0012519158],"category_scores_gemma":[0.021898236,0.0008310411,0.0019519606,0.0031947629,0.0032960328,0.007562171,0.007906502,0.0023152318,0.0008611784],"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":[0.00022344987,0.0006861899,0.03648661,0.0007662853,0.00021761996,0.0011575066,0.007300247,0.057144307,0.014184631,0.40790212,0.012114553,0.46181646],"study_design_scores_gemma":[0.00005979137,0.00021094971,0.0065828124,0.000686484,0.00019495859,0.0006246337,0.00393503,0.5946566,0.019595247,0.27713504,0.09615544,0.00016307012],"about_ca_topic_score_codex":0.010205297,"about_ca_topic_score_gemma":0.011322857,"teacher_disagreement_score":0.01732388,"about_ca_system_score_codex":0.0027956897,"about_ca_system_score_gemma":0.009871407,"threshold_uncertainty_score":0.09161854},"labels":[],"label_agreement":null}]}