{"id":"W3036064200","doi":"10.1016/j.nucmedbio.2020.06.004","title":"Training the next generation of radiopharmaceutical scientists","year":2020,"lang":"en","type":"editorial","venue":"Nuclear Medicine and Biology","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health; Alberta Health Services","funders":"Engineering and Physical Sciences Research Council; Memorial Sloan-Kettering Cancer Center","keywords":"Training (meteorology); Medical physics; Neuroscience; Medicine; Psychology; Geography; Meteorology","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":[0.0002873635,0.000173387,0.0005100499,0.00003895373,0.0001100793,0.000008473866,0.0001489569,0.0004295475,0.0003277353],"category_scores_gemma":[0.0009093341,0.0001012538,0.00006699844,0.0001738142,0.001136555,0.00001806732,0.00005273608,0.0008196074,0.00001158785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000195286,"about_ca_system_score_gemma":0.0001232092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000100554,"about_ca_topic_score_gemma":3.191716e-7,"domain_scores_codex":[0.9988565,0.00005703309,0.0003431331,0.000352408,0.0001998709,0.0001910015],"domain_scores_gemma":[0.9989619,0.0003986222,0.0001209194,0.0001991101,0.000108856,0.0002106144],"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":[0.00007169368,0.00001979889,0.000004641416,0.0001522445,0.00006253271,0.000005921593,0.0004212821,4.645619e-8,0.2334024,0.0004303866,0.7566981,0.008730916],"study_design_scores_gemma":[0.0009455878,0.0003089003,0.00001081223,0.00008398323,0.0003659615,0.00003561475,0.0001864963,0.0006724873,0.0007233335,0.00005985433,0.9965198,0.00008717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.06418785,0.01937019,0.0001388018,0.1652623,0.7253782,0.002037385,0.0003193935,0.0002671562,0.02303882],"genre_scores_gemma":[0.2053623,0.002169507,0.0002062961,0.003010963,0.7884759,0.00001402897,0.0005058869,0.00003402793,0.0002211024],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2398217,"threshold_uncertainty_score":0.4187682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3548903315661897,"score_gpt":0.4377348043986622,"score_spread":0.08284447283247254,"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."}}