{"id":"W4255247883","doi":"10.1093/jicru_1.3.59","title":"Calibration","year":2001,"lang":"en","type":"article","venue":"Journal of the ICRU","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro One (Canada)","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","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":[0.0003328748,0.00003796594,0.00006907521,0.00004331252,0.00004693918,0.00002695863,0.0002200201,0.00001943602,0.0001512765],"category_scores_gemma":[0.0001095691,0.00002045281,0.00009586781,0.0001671074,0.00001834195,0.0002238277,0.00002148618,0.0001394712,0.0001770336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005821883,"about_ca_system_score_gemma":0.00004429834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004146542,"about_ca_topic_score_gemma":0.00000974702,"domain_scores_codex":[0.9993845,0.00007092892,0.000191652,0.00002417382,0.0002530297,0.00007570074],"domain_scores_gemma":[0.999454,0.00002100973,0.0003018016,0.0001174037,0.00006860739,0.00003721414],"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":[0.0003720406,0.000221243,0.05808212,0.000005195506,0.0001296974,0.0001258628,0.0006802634,0.003766959,0.398417,0.0009630737,0.5322984,0.004938108],"study_design_scores_gemma":[0.002306299,0.0002439214,0.1705027,0.000185896,0.0001841597,0.006699277,0.0002617133,0.002929839,0.07226691,0.01265686,0.7315006,0.0002618315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991388,0.0001401474,0.000334064,0.00359838,0.0005631131,0.00003407922,0.000001383909,0.000008425103,0.003932369],"genre_scores_gemma":[0.997776,0.00000935533,0.0002482068,0.0002381146,0.0004231775,1.116221e-7,7.109669e-8,0.00001421161,0.001290719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3261501,"threshold_uncertainty_score":0.2275468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022885519687132,"score_gpt":0.2601316272930191,"score_spread":0.2399027720961478,"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."}}