{"meta":{"query_hash":"3876d556bc10","filters":{"venue":"Journal of Artificial Intelligence Machine Learning and Neural Network"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/3876d556bc10","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Artificial+Intelligence+Machine+Learning+and+Neural+Network"},"results":[{"id":"W7162407897","doi":"10.55529/jaimlnn.51.84.93","title":"A systematic review and meta-analysis of deep learning approaches for clinical natural language processing: a hybrid transformer framework with prisma 2020 methodology","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence Machine Learning and Neural Network","topic":"Topic Modeling","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":"University of Windsor; Windsor Clinical Research","funders":"","keywords":"Transformer; Deep learning; Architecture; Clinical Practice; Systematic review; Clinical trial; Language model","score_opus":0.1577223495416367,"score_gpt":0.40492365965033267,"score_spread":0.24720131010869598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162407897","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027570387,0.9850407,0.007885298,0.0011422938,0.00025949464,0.00059780123,0.0017125455,0.00012815374,0.00047667214],"genre_scores_gemma":[0.16041355,0.79091936,0.03328944,0.0035636148,0.00043470328,0.005783802,0.0046768533,0.00027793983,0.0006407421],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9697862,0.017135667,0.0071709547,0.002701057,0.002830381,0.00037577198],"domain_scores_gemma":[0.9238783,0.06332331,0.0059935516,0.002795089,0.003636665,0.00037314667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.044277154,0.0029059942,0.008628432,0.0079314215,0.0006379654,0.0036329993,0.0032925475,0.001690783,0.0044020456],"category_scores_gemma":[0.10964478,0.0015366313,0.03265472,0.0073252227,0.001077307,0.0031080435,0.0028966032,0.0024412062,0.000676801],"study_design_candidate":"meta_analysis","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":[0.0012102932,0.00004563031,0.004823858,0.5137905,0.3907247,0.00011936668,0.0002069827,0.0023972515,0.00046810848,0.0011638697,0.0029972144,0.08205223],"study_design_scores_gemma":[0.00087733235,0.00045208537,0.0055057076,0.124365464,0.8488806,0.00017938078,0.00014076107,0.0015780119,0.0005741466,0.0030569562,0.014307656,0.00008196422],"about_ca_topic_score_codex":0.0073857876,"about_ca_topic_score_gemma":0.021893794,"teacher_disagreement_score":0.044277154,"about_ca_system_score_codex":0.0036087653,"about_ca_system_score_gemma":0.008592018,"threshold_uncertainty_score":0.23416275},"labels":[],"label_agreement":null}]}