{"id":"W4390883611","doi":"10.1002/art.42796","title":"Reply","year":2024,"lang":"en","type":"letter","venue":"Arthritis & Rheumatology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Demographics; Preprint; Library science; Psychology; Medicine; Computer science; Sociology; World Wide Web; Demography","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":[0.006211636,0.00123675,0.002111995,0.001564973,0.009624262,0.01003622,0.003349331,0.1244565,0.02061908],"category_scores_gemma":[0.03931497,0.001618654,0.002564233,0.00106842,0.004651508,0.004870883,0.00450893,0.06670965,0.01734693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007676706,"about_ca_system_score_gemma":0.0125524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202794,"about_ca_topic_score_gemma":0.02684545,"domain_scores_codex":[0.9935532,0.00125834,0.0006806701,0.0009589581,0.001782331,0.001766634],"domain_scores_gemma":[0.9862562,0.006218174,0.0009000699,0.0004411207,0.002754903,0.00342944],"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":[0.00002850554,0.00001462824,0.0003849562,0.00003508439,0.00001956448,0.0006076061,0.0001577375,0.0000341845,0.00007529429,0.001171428,0.9953285,0.00214257],"study_design_scores_gemma":[0.0001031807,0.00004150637,0.001318052,0.00034041,0.00005779539,0.0007535624,0.0009989013,0.0002508787,0.0001643316,0.006346672,0.9895237,0.0001009929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.000249199,0.0006511567,0.00006469449,0.9666075,0.02896494,0.00002517466,0.00007205788,0.00003075857,0.003334609],"genre_scores_gemma":[0.0009116324,0.0001916516,0.00006354255,0.9813436,0.009334559,0.00003552245,0.00001954424,0.0000108214,0.008088999],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1244565,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07485230826362237,"score_gpt":0.3717776942718325,"score_spread":0.2969253860082102,"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."}}