{"meta":{"query_hash":"6ad9e6d5d7da","filters":{"venue":"Ahliya journal of allied medico-technology science."},"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/6ad9e6d5d7da","api":"https://metacan.xera.ac/api/v1/cohort?venue=Ahliya+journal+of+allied+medico-technology+science."},"results":[{"id":"W4401147059","doi":"10.59994/ajamts.2024.1.9","title":"A Novel Timing Equation for Predicting Optimal Contrast Medium Enhancement in Abdomen CT Scan Procedure","year":2024,"lang":"en","type":"article","venue":"Ahliya journal of allied medico-technology science.","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Clair College","funders":"","keywords":"Contrast (vision); Abdomen; Contrast enhancement; Computed tomography; Contrast medium; Radiology; Nuclear medicine; Medicine; Computer science; Artificial intelligence","score_opus":0.01563002642278351,"score_gpt":0.27080209776785946,"score_spread":0.25517207134507597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401147059","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":[0.4829071,0.0012837523,0.5091748,0.0006326598,0.00026569134,0.00063483225,0.0015231224,0.0013173885,0.0022606757],"genre_scores_gemma":[0.8274545,0.0005185047,0.1691868,0.000103073464,0.00009233509,0.00046808383,0.001070976,0.00006424873,0.0010414682],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998733,0.0004484012,0.00020824037,0.00019439164,0.00034463033,0.000071321774],"domain_scores_gemma":[0.99355185,0.0038804582,0.00096226035,0.00021357261,0.0012673257,0.00012462748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031062963,0.00086056767,0.0007605583,0.0015906722,0.00021083179,0.00081473216,0.0006087947,0.0007553059,0.0012078437],"category_scores_gemma":[0.016229838,0.00033478154,0.00083384704,0.00091147487,0.00019292947,0.00091560243,0.0004804749,0.00073645904,0.0004288118],"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":[0.0007295394,0.0003945901,0.76233566,0.00018238694,0.00027237792,0.00025279116,0.00017555879,0.051683336,0.0053534238,0.0014384475,0.0025706163,0.17461126],"study_design_scores_gemma":[0.00013568222,0.0011051936,0.18933795,0.000101409074,0.00049530016,0.0012139479,0.00016286323,0.79763556,0.005091865,0.0016667376,0.0029820458,0.00007143305],"about_ca_topic_score_codex":0.0032280919,"about_ca_topic_score_gemma":0.002592244,"teacher_disagreement_score":0.0032280919,"about_ca_system_score_codex":0.0006051057,"about_ca_system_score_gemma":0.0013654778,"threshold_uncertainty_score":0.016427875},"labels":[],"label_agreement":null}]}