{"id":"W4396832464","doi":"10.1016/j.jmir.2024.04.012","title":"An MRT workforce shortage is no laughing matter","year":2024,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational and Environmental Medical Association of Canada; Canadian Medical Association","funders":"","keywords":"Workforce; Health care; Economic shortage; Harassment; Work (physics); Psychology; Radiation Therapist; Medicine; Medical education; Nursing; Political science; Radiation therapy; Government (linguistics)","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":[0.009491983,0.0006085247,0.000926624,0.001244236,0.008148075,0.007218165,0.001526461,0.008828416,0.06860497],"category_scores_gemma":[0.05426999,0.0004661171,0.0009084811,0.0006423071,0.005791616,0.008155307,0.00516691,0.01444984,0.02278639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890047,"about_ca_system_score_gemma":0.00885889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666004,"about_ca_topic_score_gemma":0.004757671,"domain_scores_codex":[0.9946292,0.001342157,0.0004039377,0.000766849,0.001402428,0.001455438],"domain_scores_gemma":[0.9322658,0.01014126,0.005902176,0.002198344,0.01518379,0.03430864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002069629,0.0002182225,0.0100644,0.0002295327,0.0000461712,0.0008036717,0.001227869,0.0001044211,0.0008295475,0.0101716,0.9104385,0.06565922],"study_design_scores_gemma":[0.0001709672,0.0006127883,0.0256822,0.002702501,0.0001198825,0.003892938,0.02326442,0.0004681656,0.0009806617,0.07165501,0.8702675,0.0001830915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007284639,0.002066487,0.0009094517,0.9346196,0.031124,0.00001652332,0.0001186607,0.0001312188,0.02372937],"genre_scores_gemma":[0.1753365,0.004458797,0.002048142,0.7256373,0.03953755,0.00006693476,0.0003296417,0.0004148667,0.05217034],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06860497,"threshold_uncertainty_score":0.2295065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770679740701567,"score_gpt":0.3656784197630528,"score_spread":0.3479716223560371,"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."}}