{"id":"W2981283193","doi":"10.1088/1361-6560/ab4f29","title":"Absorbed dose calorimetry","year":2019,"lang":"en","type":"review","venue":"Physics in Medicine and Biology","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Absorbed dose; Calorimetry; Calorimeter (particle physics); Dosimetry; Kerma; Medical physics; Physics; Thermoluminescent dosimeter; Nuclear physics; Nuclear engineering; Materials science; Engineering physics; Radiation; Nuclear medicine; Dosimeter; Medicine; Optics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002896462,0.000292809,0.002163194,0.0002473813,0.00002060502,0.000002728323,0.00009406565,0.000396364,0.0001025307],"category_scores_gemma":[0.0001035178,0.0001788349,0.0001457389,0.0004435748,0.0001967444,0.00002254263,0.00003421507,0.0005803479,0.00007996672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004992597,"about_ca_system_score_gemma":0.0001422175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004325668,"about_ca_topic_score_gemma":8.330811e-7,"domain_scores_codex":[0.9987136,0.0001207508,0.0004757999,0.0003827114,0.00007760706,0.0002295834],"domain_scores_gemma":[0.9989304,0.0004346728,0.0001915408,0.0003228308,0.00002843597,0.00009212316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002148335,0.00005260902,0.0002736225,0.005430911,0.0001256854,0.000008551835,0.00005116398,4.906407e-8,0.000007650824,0.002372124,0.001036846,0.9906193],"study_design_scores_gemma":[0.001298383,0.0004405956,0.00007339212,0.004371027,0.0005503626,0.00003779895,0.00001977026,0.000008553081,0.000001246391,0.001207507,0.9918136,0.0001777894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006128343,0.9952375,0.00005044289,0.0001855338,0.0005276703,0.0005118609,0.00001069139,0.00002304551,0.003391953],"genre_scores_gemma":[0.0002056773,0.996441,0.00006124641,0.000971972,0.001597073,0.00002160224,0.0003089856,0.00002820883,0.0003642477],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9907767,"threshold_uncertainty_score":0.7292677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4603312857474102,"score_gpt":0.5059104699779835,"score_spread":0.04557918423057328,"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."}}