{"id":"W4254178845","doi":"10.1136/bmj.d628","title":"Author's reply","year":2011,"lang":"en","type":"article","venue":"BMJ","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Best practice; Watson; Medicine; Medical education; Family medicine; Political science; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00597636,0.0008067971,0.001439076,0.001233592,0.003236568,0.00480722,0.003789218,0.03305056,0.04731375],"category_scores_gemma":[0.07664049,0.0007447025,0.001639073,0.0008996873,0.004523046,0.006224081,0.003591598,0.03058263,0.02673843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003752609,"about_ca_system_score_gemma":0.009435149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004542001,"about_ca_topic_score_gemma":0.004410737,"domain_scores_codex":[0.9948381,0.001237143,0.0005977974,0.0008904441,0.001663354,0.0007731043],"domain_scores_gemma":[0.9683257,0.01388156,0.001404568,0.001686265,0.01190155,0.002800424],"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":[0.00001644557,0.000004215104,0.0001061385,0.00004916238,0.000004782971,0.0001356793,0.00008505976,0.00001046065,0.00002274864,0.0008400051,0.9956376,0.00308764],"study_design_scores_gemma":[0.00003724424,0.00001813167,0.0003159306,0.0003475698,0.00001410185,0.0007225929,0.0003186828,0.00003596627,0.0001457561,0.002171513,0.9958432,0.00002944434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002642255,0.002404749,0.0001301955,0.8728372,0.1191159,0.00002071334,0.0002084978,0.0001134527,0.00490511],"genre_scores_gemma":[0.003215001,0.001997178,0.0002494236,0.9360642,0.04489117,0.00007666725,0.0001060994,0.00008875367,0.01331147],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04731375,"threshold_uncertainty_score":0.1582803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06507753961530308,"score_gpt":0.338058003331541,"score_spread":0.272980463716238,"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."}}