{"id":"W2099383816","doi":"10.1148/radiographics.22.5.g02se311291","title":"Image Interpretation Session","year":2002,"lang":"en","type":"article","venue":"Radiographics","topic":"Radiology practices and education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Session (web analytics); Interpretation (philosophy); Panel discussion; Reading (process); Medical education; Radiology; Medical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120958,0.00006610408,0.0001048527,0.0001884914,0.0000639495,0.00001564329,0.00003613188,0.00007838349,0.000340735],"category_scores_gemma":[0.00009800466,0.00005602591,0.00007814262,0.0003268741,0.00006088375,0.000184342,0.000005322383,0.0001661212,0.0000843186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819417,"about_ca_system_score_gemma":0.000008298825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007729537,"about_ca_topic_score_gemma":9.274797e-7,"domain_scores_codex":[0.9994993,0.00003551786,0.0001210269,0.0001323048,0.00009433937,0.0001175623],"domain_scores_gemma":[0.9995757,0.00006009619,0.00006004742,0.0001763237,0.00005175015,0.00007608395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004592226,0.001527373,0.4569828,0.0003459954,0.0004787656,0.0001437884,0.008963581,0.00001346483,0.0350766,0.002536644,0.2619741,0.2314976],"study_design_scores_gemma":[0.00332441,0.001289863,0.5844507,0.0003310426,0.0008085992,0.001961862,0.001590404,0.1700562,0.001002539,0.001230113,0.2333065,0.0006477291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604333,0.001634894,0.002239747,0.007795451,0.000664258,0.0002072289,0.000001368026,0.0001211446,0.02690263],"genre_scores_gemma":[0.9920352,0.001380713,0.005130254,0.0007131749,0.0001882382,0.000008092865,0.00001822546,0.00001076507,0.0005153039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2308499,"threshold_uncertainty_score":0.373081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540472468332969,"score_gpt":0.3072624830389881,"score_spread":0.2818577583556584,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}