{"id":"W4386520365","doi":"10.1016/j.chest.2023.05.006","title":"Response","year":2023,"lang":"en","type":"letter","venue":"CHEST Journal","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002983751,0.001310295,0.001992876,0.001133308,0.007691934,0.007634413,0.003119749,0.1192517,0.03105822],"category_scores_gemma":[0.02477414,0.001251462,0.002531298,0.0007722552,0.003369891,0.002889,0.003668127,0.06639701,0.02170325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007696106,"about_ca_system_score_gemma":0.008146753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211612,"about_ca_topic_score_gemma":0.01884747,"domain_scores_codex":[0.9957903,0.0007477416,0.0003852785,0.0006874179,0.001050308,0.001338914],"domain_scores_gemma":[0.9923416,0.002682366,0.0006463681,0.0002874487,0.001663468,0.002378773],"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":[0.00005139735,0.00002786957,0.0006532829,0.00004972498,0.00002390883,0.003364066,0.0001627908,0.00008138063,0.0001788218,0.001457625,0.9908649,0.003084248],"study_design_scores_gemma":[0.0001336558,0.00008911519,0.001848338,0.0004577003,0.00005791469,0.002984396,0.001022415,0.0005112818,0.0002489178,0.005017446,0.9875383,0.00009041899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004778097,0.0005473873,0.0001072081,0.9552124,0.03662914,0.00004728552,0.00008501546,0.0000598288,0.006834065],"genre_scores_gemma":[0.002165019,0.0002944168,0.0001197659,0.9636305,0.01606688,0.00005546915,0.00003730591,0.00002377363,0.01760681],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1192517,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06184056403852665,"score_gpt":0.3085609888758623,"score_spread":0.2467204248373356,"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."}}