{"id":"W4404102200","doi":"10.1183/13993003.congress-2024.pa1200","title":"Clinical characteristics impacting clinical remission attainment in REALITI-A","year":2024,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"GlaxoSmithKline (Canada); Queen's University","funders":"","keywords":"Computer science; Medicine","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":[0.002072101,0.0001986085,0.0004019596,0.0002978593,0.0002594651,0.000901631,0.0003332839,0.000453383,0.002363737],"category_scores_gemma":[0.004333954,0.0001621998,0.0006722753,0.000391422,0.0002501305,0.0004440738,0.000502714,0.0007750312,0.0004320819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628879,"about_ca_system_score_gemma":0.0003049823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000760596,"about_ca_topic_score_gemma":0.000968207,"domain_scores_codex":[0.9991624,0.0003217164,0.0001159144,0.0001891432,0.00009099298,0.0001198251],"domain_scores_gemma":[0.9944811,0.001763973,0.002753106,0.0003036947,0.0002205486,0.00047765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005478098,0.0002950338,0.9891277,0.00005002554,0.0001186251,0.00008056603,0.00007854877,0.0001226103,0.0005187202,0.00004252943,0.000294366,0.003793218],"study_design_scores_gemma":[0.0002064296,0.002297334,0.9951297,0.00002651496,0.000127109,0.0003940264,0.0001493607,0.0006200909,0.0002676265,0.00004837309,0.0007246221,0.000008860235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983423,0.0003748168,0.0001564507,0.0000692806,0.000009184689,0.00002682183,0.0005354693,0.000005361174,0.0004803371],"genre_scores_gemma":[0.9989142,0.00004388631,0.00009688439,0.000043457,0.000009888834,0.00002164861,0.0006700149,0.000002743918,0.0001973605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002363737,"threshold_uncertainty_score":0.01095843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185154120218114,"score_gpt":0.5236206506617113,"score_spread":0.4051052386398999,"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."}}