{"id":"W4411204310","doi":"10.1109/radecs61975.2024.11017542","title":"Guide to the 2022 RADECS Radiation Effects Data Session","year":2024,"lang":"en","type":"article","venue":"","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","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":[0.0001814345,0.00007108416,0.00005971771,0.00007357472,0.000115209,0.000152237,0.000314064,0.00002450453,0.0005602073],"category_scores_gemma":[0.00002930498,0.00004258798,0.0000299195,0.0003517488,0.00001055229,0.0001635696,0.0001362717,0.0001056774,0.000557448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001786747,"about_ca_system_score_gemma":0.00002532482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006499439,"about_ca_topic_score_gemma":0.000005111083,"domain_scores_codex":[0.9994122,0.00002708731,0.0001128526,0.0002238615,0.0001200842,0.0001039155],"domain_scores_gemma":[0.9993156,0.00009889124,0.00001677465,0.0005254344,0.00001132458,0.00003197732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[9.203924e-7,0.000004539016,0.0004597568,0.000003713969,0.00001761076,3.796219e-7,0.00004202276,0.0002479408,0.0003848468,0.007287815,0.4775034,0.514047],"study_design_scores_gemma":[0.0000604308,0.00001331544,0.0008372426,0.000009373322,0.000008378181,4.90028e-7,0.0001646033,0.03974901,0.005652153,0.0003690415,0.9530666,0.00006937036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2960964,0.003302882,0.419984,0.09898697,0.01376117,0.002976287,0.0002589452,0.004630968,0.1600024],"genre_scores_gemma":[0.9883749,0.000009657088,0.00033663,0.000229133,0.0003454679,0.00002299331,0.00001643909,0.000008820177,0.01065595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6922786,"threshold_uncertainty_score":0.7165052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213059329604968,"score_gpt":0.3034859791952657,"score_spread":0.2913553858992159,"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."}}