{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006168952,0.0001878738,0.0002015759,0.000084366,0.0004534885,0.00009459965,0.0002338158,0.000188265,0.0003975529],"category_scores_gemma":[0.000532701,0.00008603121,0.0001268895,0.001889496,0.0001112307,0.0004810425,0.00003560195,0.0001611365,0.00009075918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793874,"about_ca_system_score_gemma":0.00002259781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002466055,"about_ca_topic_score_gemma":0.00001472295,"domain_scores_codex":[0.9979977,0.0004845815,0.0005002991,0.0003261743,0.0004642824,0.0002269651],"domain_scores_gemma":[0.9987401,0.0002470996,0.0006432124,0.0001341221,0.0001539099,0.00008154837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008488039,0.0001580188,0.004194896,0.0000252454,0.00004272867,1.087775e-7,0.0001568062,0.0005957726,0.4018752,0.0001324016,0.003793271,0.5889407],"study_design_scores_gemma":[0.0004544367,0.0003720229,0.2950063,0.00003114018,0.00003409418,0.000004691404,0.00002610883,0.5458068,0.1540918,0.000121997,0.003839251,0.000211291],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858034,0.0003080408,0.009603632,0.0008976352,0.001005132,0.001416787,0.00008623139,0.0005004769,0.0003787017],"genre_scores_gemma":[0.9990208,0.000017306,0.0000753699,0.0002658908,0.0003099005,0.00005964701,0.00016602,0.000003792664,0.00008131815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5887294,"threshold_uncertainty_score":0.4352926,"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."}}