{"id":"W2517326056","doi":"10.1118/1.4961855","title":"Sci‐Sat AM: Radiation Dosimetry and Practical Therapy Solutions ‐ 01: Optimization of an organic field effect transistor for radiation dosimetry measurements","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"","keywords":"Materials science; Dosimetry; Organic field-effect transistor; Organic semiconductor; Dosimeter; Bilayer; Optoelectronics; Field-effect transistor; Transistor; Organic electronics; Atomic layer deposition; Pentacene; Layer (electronics); Nanotechnology; Thin-film transistor; Chemistry; Physics; Nuclear 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004497422,0.0001444736,0.0002229591,0.0000793513,0.0001637147,0.00002684555,0.00008911133,0.0001429516,0.0002729787],"category_scores_gemma":[0.0003169929,0.0001066411,0.00008715371,0.0002608959,0.00009867053,0.0003316531,0.00001426384,0.0001196884,0.000004556923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004959912,"about_ca_system_score_gemma":0.00008771431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149571,"about_ca_topic_score_gemma":0.00000207244,"domain_scores_codex":[0.9987778,0.0001039787,0.0002775934,0.0002522359,0.000394728,0.0001936674],"domain_scores_gemma":[0.9990163,0.0004279131,0.0001722825,0.0002027768,0.00005862169,0.0001220688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001313362,0.0002416488,0.01120544,0.00002135156,0.0001305341,1.631807e-7,0.00009476555,0.000298048,0.008214696,0.0004132119,0.001033261,0.9782155],"study_design_scores_gemma":[0.006651753,0.001379928,0.00572443,0.00006547599,0.0001382604,0.000002000811,0.00006469345,0.04060045,0.9415834,0.001851511,0.001483691,0.0004543921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4245499,0.0000875611,0.5730863,0.001379443,0.0003183983,0.0004234735,0.00002115158,0.00008805025,0.00004568695],"genre_scores_gemma":[0.9990416,0.00003844867,0.0003946832,0.0001058796,0.0003191838,0.00004295332,0.00001907733,0.0000183228,0.00001991273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9777611,"threshold_uncertainty_score":0.4348696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476512455409521,"score_gpt":0.2913805059859857,"score_spread":0.2666153814318906,"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."}}