{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449695,0.001437365,0.0008235321,0.001959549,0.001297328,0.002716089,0.0019408,0.001909121,0.1355361],"category_scores_gemma":[0.006965012,0.0007921865,0.0009226587,0.002095756,0.0007923386,0.002896043,0.002518309,0.002009392,0.0837938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378282,"about_ca_system_score_gemma":0.001539126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196165,"about_ca_topic_score_gemma":0.002374921,"domain_scores_codex":[0.997876,0.000234773,0.00005236527,0.0008053441,0.0008761287,0.0001553476],"domain_scores_gemma":[0.9974561,0.0002531058,0.0001142723,0.001241709,0.0008650916,0.00006980166],"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":[0.0005006652,0.0001759446,0.004888745,0.0003060767,0.0001358375,0.0001559652,0.0001982503,0.03537058,0.04621531,0.09263622,0.186405,0.6330113],"study_design_scores_gemma":[0.000109083,0.0001518771,0.008320661,0.0001781136,0.0001240302,0.0006506629,0.0002233376,0.1509566,0.1102881,0.05518814,0.6736245,0.000184955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01399623,0.001050532,0.61349,0.001582276,0.001588734,0.0002739598,0.005177289,0.02314191,0.339699],"genre_scores_gemma":[0.3915233,0.001480443,0.2153253,0.002421774,0.0006409334,0.0004140895,0.02049771,0.01278352,0.3549129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1355361,"threshold_uncertainty_score":0.4534133,"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."}}