{"id":"W2910945741","doi":"10.1093/rpd/ncy282","title":"RADIATION DOSE ESTIMATION BY COMPLETELY AUTOMATED INTERPRETATION OF THE DICENTRIC CHROMOSOME ASSAY","year":2018,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radiation Effects and Dosimetry","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Canadian Nuclear Laboratories; Health Canada; Cytodiagnostics (Canada)","funders":"Australian Research Council; James S. McDonnell Foundation","keywords":"Dicentric chromosome; Calibration; Selection (genetic algorithm); Computer science; Statistics; Residual; Goodness of fit; Mathematics; Pattern recognition (psychology); Artificial intelligence; Chromosome; Algorithm","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":[0.004321745,0.0008912099,0.0008475686,0.002289851,0.0005458354,0.001747998,0.001387245,0.0006593221,0.002578217],"category_scores_gemma":[0.009356681,0.0005565348,0.0006177609,0.0008868725,0.0005143147,0.00072714,0.001446523,0.0006174292,0.0009052158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070216,"about_ca_system_score_gemma":0.001053999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218454,"about_ca_topic_score_gemma":0.006653553,"domain_scores_codex":[0.9965162,0.0006205888,0.0001916282,0.0007565977,0.001781777,0.000133101],"domain_scores_gemma":[0.9947184,0.001895305,0.0004549505,0.001267691,0.001600027,0.0000635698],"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":[0.0005269884,0.0001913331,0.03066429,0.0003484263,0.0001944418,0.0001248694,0.0006521485,0.04304473,0.5150443,0.002857299,0.002260831,0.4040905],"study_design_scores_gemma":[0.00005512039,0.0004141133,0.05096659,0.00004546389,0.0001216928,0.000417569,0.0001795695,0.419909,0.516099,0.002650792,0.008942949,0.0001980684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414079,0.0002271079,0.8487903,0.00007135808,0.00003228281,0.0002562091,0.0005336684,0.00630142,0.002379636],"genre_scores_gemma":[0.3862415,0.0001776034,0.6095427,0.00007281021,0.00001419356,0.0003543657,0.0007410978,0.0009611526,0.001894548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004321745,"threshold_uncertainty_score":0.02285582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366978788464992,"score_gpt":0.2299584228724818,"score_spread":0.2215914440840168,"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."}}