{"meta":{"query_hash":"14178ce8ead9","filters":{"venue":"Journal of Biotechnology and Biomedicine"},"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/14178ce8ead9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Biotechnology+and+Biomedicine"},"results":[{"id":"W4205161031","doi":"10.26502/jbb.2642-91280046","title":"AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models","year":2022,"lang":"en","type":"article","venue":"Journal of Biotechnology and Biomedicine","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":16,"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 British Columbia","funders":"National Institutes of Health","keywords":"Workflow; Artificial intelligence; Deep learning; Machine learning; Computer science; Scrutiny; Precision medicine; Data science; Medical physics; Medicine; Pathology","score_opus":0.008655687412801942,"score_gpt":0.2287688733456881,"score_spread":0.22011318593288615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205161031","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":[0.014654922,0.012139246,0.9641012,0.0034575572,0.00015224941,0.00009343523,0.0005011528,0.0017846429,0.0031155786],"genre_scores_gemma":[0.27765727,0.020935051,0.6904568,0.002032242,0.00050185656,0.00028999202,0.0014972857,0.0008118548,0.005817653],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931705,0.00019571048,0.00005186227,0.0001472765,0.0002357794,0.00005235594],"domain_scores_gemma":[0.99812025,0.0010617189,0.0001883615,0.0001293251,0.00041405973,0.0000863203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026092862,0.00074459997,0.0007466438,0.0019508352,0.00028028392,0.0029044736,0.0013374431,0.0013022269,0.0010854758],"category_scores_gemma":[0.0053889337,0.00048118553,0.0012904924,0.0013164236,0.00096079306,0.0017227058,0.001192886,0.001966607,0.0008599127],"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":[0.00021195,0.00009474453,0.00870774,0.0015791089,0.00033602316,0.0007225771,0.0003708776,0.18900074,0.030837279,0.032169316,0.015097626,0.72087204],"study_design_scores_gemma":[0.00002167853,0.000117709846,0.0041567623,0.00033037426,0.0001003065,0.0013513938,0.00014718069,0.85210586,0.030235566,0.07796872,0.03335323,0.00011122969],"about_ca_topic_score_codex":0.0029505093,"about_ca_topic_score_gemma":0.0035951345,"teacher_disagreement_score":0.0029505093,"about_ca_system_score_codex":0.0012508759,"about_ca_system_score_gemma":0.0013064868,"threshold_uncertainty_score":0.013799369},"labels":[],"label_agreement":null}]}