{"id":"W7067651206","doi":"","title":"Modelling of biota dose effects, Report of working group 6 of EMRAS II programme","year":2014,"lang":"en","type":"other","venue":"The Australian Nuclear Science and Technology Organisation Institutional Repository (The Australian Nuclear Science and Technology Organisation)","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Centre for Ecology and Hydrology; Canadian Nuclear Safety Commission; Stockholms Universitet; Korea Atomic Energy Research Institute; Institut de Radioprotection et de SÛreté Nucléaire; International Atomic Energy Agency; Atomic Energy of Canada Limited; Oregon State University","keywords":"Radioecology; Variable (mathematics); Radiation protection; Radiological weapon; Biota; Commission; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002250777,0.001616272,0.001273218,0.0009878456,0.0006056124,0.002323625,0.003146132,0.002798118,0.01464809],"category_scores_gemma":[0.003585191,0.0008925991,0.002489042,0.001115999,0.0005668671,0.001384207,0.001497254,0.001425789,0.004510335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002742281,"about_ca_system_score_gemma":0.002066107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03031338,"about_ca_topic_score_gemma":0.01211337,"domain_scores_codex":[0.9990921,0.0003456583,0.00003639347,0.0001492673,0.000311537,0.00006501612],"domain_scores_gemma":[0.998633,0.0007519247,0.00008115375,0.0001711808,0.0002953221,0.00006740906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002303673,0.00008532756,0.003196133,0.0005870775,0.0001711203,0.0001558752,0.0001340186,0.8979119,0.002897907,0.01847058,0.04134112,0.03481855],"study_design_scores_gemma":[0.00009146619,0.0001551466,0.003153583,0.0002646366,0.000155991,0.0001675763,0.00006909532,0.8630865,0.005833745,0.0189341,0.1080074,0.00008077831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05972775,0.01599669,0.6204442,0.006685959,0.002136743,0.001118544,0.07846446,0.006162179,0.2092635],"genre_scores_gemma":[0.5835156,0.01464966,0.189433,0.001502672,0.0006893437,0.002874759,0.06206045,0.004781449,0.140493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03031338,"threshold_uncertainty_score":0.06027389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950593588214462,"score_gpt":0.2372466948897961,"score_spread":0.2177407590076515,"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."}}