{"id":"W2317807914","doi":"10.1093/oxfordjournals.rpd.a006153","title":"Quantification of low dose signal in EPR tooth dosimetry - a novel approach","year":2003,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Dosimetry; SIGNAL (programming language); Spectrometer; Tooth enamel; Electron paramagnetic resonance; Materials science; Extrapolation; Dose profile; Radiation; Dosimeter; Absorbed dose; Nuclear medicine; Nuclear magnetic resonance; Optics; Enamel paint; Physics; Medicine; Mathematics; Computer science; Statistics","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":[0.0007501814,0.0005976525,0.0004856808,0.0009823383,0.0002679466,0.0006512456,0.0008331048,0.0008003562,0.000886379],"category_scores_gemma":[0.001073272,0.0004574703,0.00028139,0.0004317609,0.0006635655,0.0009615518,0.001063646,0.001325503,0.0003795341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907567,"about_ca_system_score_gemma":0.0003422805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876508,"about_ca_topic_score_gemma":0.0003883246,"domain_scores_codex":[0.9994267,0.0001535792,0.0000281661,0.0001853563,0.0001765218,0.00002968748],"domain_scores_gemma":[0.9993778,0.0001785684,0.0001391538,0.0001405113,0.0001253302,0.00003853752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006911003,0.00004328005,0.0005782308,0.0001116115,0.00001374342,0.0000300339,0.00004942718,0.0003453704,0.9845983,0.0007257188,0.00004962007,0.01338554],"study_design_scores_gemma":[0.000009671314,0.0003119862,0.002998536,0.00001455474,0.00003447747,0.0004548707,0.00003523337,0.007106289,0.9858102,0.0007470534,0.002447662,0.00002955772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2683225,0.002782765,0.724354,0.0002364344,0.00008979139,0.0001866857,0.000198644,0.0008823718,0.002946866],"genre_scores_gemma":[0.5034367,0.002017857,0.4898326,0.0001542132,0.00005051839,0.0002011059,0.0002099976,0.00008766344,0.004009359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009823383,"threshold_uncertainty_score":0.003967404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169568138442556,"score_gpt":0.2253055032469759,"score_spread":0.2036098218625503,"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."}}