{"meta":{"query_hash":"56f56c9ebc36","filters":{"venue":"Contemporary Medicine"},"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/56f56c9ebc36","api":"https://metacan.xera.ac/api/v1/cohort?venue=Contemporary+Medicine"},"results":[{"id":"W2375617279","doi":"","title":"CT perfusion imaging and interventional therapy of genetically engineered mouse prostate cancer","year":2009,"lang":"en","type":"article","venue":"Contemporary Medicine","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","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":"Western University","funders":"","keywords":"Prostate cancer; Medicine; Prostate; Perfusion; Pathology; Cancer; Blood flow; Radiology; Internal medicine","score_opus":0.018532202214245702,"score_gpt":0.3089813472507304,"score_spread":0.29044914503648467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375617279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96836966,0.0024479383,0.026096454,0.00016586397,0.000035032568,0.000082199025,0.00034482323,0.00034307851,0.002115072],"genre_scores_gemma":[0.9760908,0.001312565,0.018217836,0.00007586809,0.000018144827,0.00019214215,0.0005851424,0.00007164123,0.003436016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981445,0.000033831777,0.000010952389,0.000049083705,0.000057770078,0.000033840202],"domain_scores_gemma":[0.9998085,0.000034130888,0.00006828635,0.000019143683,0.000029579005,0.000040361556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035061504,0.0006332769,0.00023790912,0.0007905252,0.00015254912,0.00024481426,0.00023177282,0.00048517084,0.0016615744],"category_scores_gemma":[0.0002742313,0.00022357683,0.00026485606,0.00022874297,0.00035500515,0.00034555566,0.00017012414,0.00070873403,0.00024396284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014777305,0.000040719486,0.00046512872,0.000032593987,0.000005784942,0.000078473975,0.000013777661,0.00012487012,0.9972696,0.00014024696,0.00004188373,0.001639063],"study_design_scores_gemma":[0.000033283013,0.0007860199,0.005496382,0.000011286263,0.000041684034,0.001333573,0.00001779988,0.002124855,0.98824,0.000078002086,0.001826751,0.000010330627],"about_ca_topic_score_codex":0.0006160881,"about_ca_topic_score_gemma":0.0004920651,"teacher_disagreement_score":0.0016615744,"about_ca_system_score_codex":0.00028744378,"about_ca_system_score_gemma":0.00019528347,"threshold_uncertainty_score":0.0055584908},"labels":[],"label_agreement":null}]}