{"id":"W4238342551","doi":"10.1093/jicru_1.2.37","title":"Appendices","year":2001,"lang":"en","type":"article","venue":"Journal of the ICRU","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005348346,0.00005633432,0.0001110044,0.00006714716,0.00006638184,0.00003187355,0.0005014292,0.00002208924,0.0003414451],"category_scores_gemma":[0.0001029153,0.00002929961,0.0001543637,0.0001985136,0.00003718969,0.0001796513,0.00004797934,0.0002152221,0.001161997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005938266,"about_ca_system_score_gemma":0.00004267322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006631356,"about_ca_topic_score_gemma":0.00001381963,"domain_scores_codex":[0.9991715,0.00007221132,0.0002310037,0.00003486549,0.0003624297,0.0001279978],"domain_scores_gemma":[0.9992043,0.00003517076,0.0004612344,0.0001673603,0.00007361281,0.00005826422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005740595,0.0003958271,0.1383312,0.00001277908,0.0003695118,0.0004775817,0.001176377,0.001021109,0.1799134,0.0007171051,0.6659601,0.01105088],"study_design_scores_gemma":[0.0008251622,0.00008720431,0.07684243,0.0001063661,0.00008863874,0.004525799,0.0002502807,0.00004010288,0.006783013,0.002781599,0.9075655,0.0001039291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982491,0.0004936248,0.00002493216,0.002228961,0.0006369828,0.00003446006,0.000001811372,0.000009206348,0.01407898],"genre_scores_gemma":[0.9972028,0.00002746238,0.0002271207,0.0002125257,0.0004642372,1.175063e-7,4.213403e-8,0.00001910777,0.001846544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2416053,"threshold_uncertainty_score":0.9996157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167340990075248,"score_gpt":0.2631177916904596,"score_spread":0.2463836926829348,"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."}}