{"id":"W4241989519","doi":"10.1093/qjmed/hcl126","title":"Response","year":2006,"lang":"en","type":"article","venue":"QJM","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","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":[],"consensus_categories":[],"category_scores_codex":[0.0000760766,0.00003085229,0.00005249798,0.00002436642,0.00001731344,0.000003855218,0.00001256385,0.00001877699,0.0003914954],"category_scores_gemma":[0.00004279412,0.00002364881,0.00002609125,0.0000610733,0.00001212729,0.00001348127,0.000003112262,0.00003841085,0.0006122331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341057,"about_ca_system_score_gemma":0.00002105059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001691235,"about_ca_topic_score_gemma":9.059342e-7,"domain_scores_codex":[0.999732,0.00001349531,0.0000550714,0.00006174729,0.00007306373,0.00006459848],"domain_scores_gemma":[0.9998239,0.00002412932,0.00001039727,0.00009590716,0.00001779389,0.00002785321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002396808,0.0001080554,0.02329532,0.00001454296,0.000008000306,0.0001593027,0.00001564147,0.000009712804,0.5258325,0.002003935,0.4441526,0.002003587],"study_design_scores_gemma":[0.0005979605,0.00008568844,0.24716,0.00001892405,0.000006158171,0.00004169637,0.0000090654,0.00004434605,0.07219658,0.0001074211,0.679695,0.00003709204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347693,0.0001399079,0.0002221335,0.002704512,0.0001171633,0.00004897002,0.000001286873,0.00006464231,0.06193205],"genre_scores_gemma":[0.94067,0.000001602184,0.0002663736,0.001577246,0.0001452181,0.000002459051,0.000005505531,0.000004323926,0.0573273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.453636,"threshold_uncertainty_score":0.7869222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007032249545160357,"score_gpt":0.2461411433183097,"score_spread":0.2391088937731493,"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."}}