{"id":"W3163146696","doi":"10.1080/09553002.2021.1928782","title":"RENEB Inter-Laboratory comparison 2017: limits and pitfalls of ILCs","year":2021,"lang":"en","type":"article","venue":"International Journal of Radiation Biology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health; Health Canada; Canadian Nuclear Laboratories","funders":"","keywords":"Biodosimetry; Dosimetry; Medical physics; Mass Casualty; Dicentric chromosome; Computer science; Harmonization; Radiological weapon; Environmental science; Medicine; Nuclear medicine; Physics; Biology; Medical emergency","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4110129,0.001395837,0.00294534,0.006931069,0.002927911,0.01260603,0.009027916,0.003493162,0.003346025],"category_scores_gemma":[0.510763,0.001190415,0.002354066,0.007210215,0.009498872,0.007791485,0.01388291,0.00543065,0.001620568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006168293,"about_ca_system_score_gemma":0.008087194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004023713,"about_ca_topic_score_gemma":0.002512526,"domain_scores_codex":[0.3624261,0.4537485,0.03394784,0.03132637,0.1148737,0.003677462],"domain_scores_gemma":[0.2342821,0.5497558,0.04000814,0.09235326,0.0806881,0.002912664],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002175388,0.0007519575,0.1080574,0.004446896,0.001975609,0.0007696715,0.01062673,0.02408873,0.004909626,0.1844602,0.02574984,0.631988],"study_design_scores_gemma":[0.0005978493,0.004551914,0.1349196,0.009268313,0.001776217,0.003373367,0.01038395,0.1627928,0.04263213,0.2693547,0.359438,0.0009111332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07788001,0.0156154,0.8284683,0.01072074,0.003478094,0.002162694,0.001353296,0.003651584,0.05666982],"genre_scores_gemma":[0.5741619,0.001364128,0.4120311,0.002516771,0.001183849,0.002795443,0.001010799,0.0009017409,0.004034291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4110129,"threshold_uncertainty_score":0.7263259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424014972052054,"score_gpt":0.3218786745257818,"score_spread":0.3076385248052612,"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."}}