{"meta":{"query_hash":"fc1fc809584e","filters":{"venue":"EMJ Radiology"},"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/fc1fc809584e","api":"https://metacan.xera.ac/api/v1/cohort?venue=EMJ+Radiology"},"results":[{"id":"W4210649917","doi":"10.33590/emjradiol/21f10415","title":"Artificial Intelligence in Radiology: An Exciting Future, but Ethically Complex","year":2021,"lang":"en","type":"article","venue":"EMJ Radiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obsolescence; Artificial intelligence; George (robot); Cliff; Psychology; Subject (documents); Computer science; History; Library science; Business; Marketing","score_opus":0.2650810527329825,"score_gpt":0.46043797480969006,"score_spread":0.19535692207670757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210649917","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012486178,0.017961388,0.0010262561,0.9685929,0.008761625,0.0000055475302,0.000012693919,0.000029830302,0.0034849725],"genre_scores_gemma":[0.018256195,0.032986466,0.0043672,0.88812643,0.04292518,0.00007095564,0.000048594808,0.00013690458,0.01308208],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9694949,0.01824633,0.0011382968,0.00186165,0.007614185,0.0016446796],"domain_scores_gemma":[0.9267949,0.042675525,0.0028811481,0.0046870797,0.01236288,0.010598409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033556234,0.0010785516,0.0013441778,0.0015340428,0.006620904,0.018529203,0.0024359515,0.021208169,0.0125210555],"category_scores_gemma":[0.05152225,0.00060119014,0.00085648726,0.0011122095,0.03599808,0.02952835,0.0085476795,0.045147453,0.00636519],"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":[0.0000469392,0.00006052404,0.0002544867,0.00030792362,0.000028934288,0.00019218733,0.0018009186,0.00010136478,0.00031178308,0.16248812,0.78982,0.044586826],"study_design_scores_gemma":[0.000021024776,0.000043299347,0.0002453976,0.0012412294,0.000008505186,0.00059093884,0.002745399,0.00019441097,0.00009349805,0.14801474,0.84675425,0.000047336343],"about_ca_topic_score_codex":0.0021344197,"about_ca_topic_score_gemma":0.0032995215,"teacher_disagreement_score":0.033556234,"about_ca_system_score_codex":0.004541151,"about_ca_system_score_gemma":0.009593966,"threshold_uncertainty_score":0.17746449},"labels":[],"label_agreement":null}]}