{"id":"W4404229797","doi":"10.1016/j.jmir.2024.101770","title":"Silent stories: A CT technologist's view","year":2024,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre; Trillium Health Centre","funders":"","keywords":"Nuclear medicine; Medical physics; Art; Psychology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006581895,0.0009363752,0.0006348063,0.002330926,0.01331952,0.01729329,0.004264872,0.04069737,0.009477128],"category_scores_gemma":[0.04842019,0.0007436451,0.0007760138,0.001253325,0.02308424,0.02257079,0.008363826,0.05442204,0.002460619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007993876,"about_ca_system_score_gemma":0.008350229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009500572,"about_ca_topic_score_gemma":0.01079805,"domain_scores_codex":[0.9939553,0.003292069,0.0002607529,0.0005985787,0.001037654,0.0008555973],"domain_scores_gemma":[0.9481972,0.03853992,0.003082699,0.0009821593,0.003995182,0.005202804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008467115,0.00007391666,0.001506099,0.0003389382,0.00003742633,0.009621956,0.1620563,0.0001065107,0.0003931816,0.1708519,0.6372211,0.01770802],"study_design_scores_gemma":[0.00004570815,0.00004635796,0.0006648852,0.001600104,0.00004550968,0.008499571,0.1436599,0.000171273,0.0003567876,0.04618665,0.7986529,0.00007036574],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003775966,0.006027509,0.0004442398,0.9660171,0.006328018,0.000007058878,0.00004001759,0.00002609135,0.01733393],"genre_scores_gemma":[0.2214909,0.01067883,0.0005687602,0.7217982,0.02729053,0.00005282082,0.00005948049,0.0002157243,0.01784473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04069737,"threshold_uncertainty_score":0.05799991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448901609827459,"score_gpt":0.4083840418706851,"score_spread":0.3738950257724105,"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."}}