{"id":"W4410201618","doi":"10.1016/j.chest.2024.12.012","title":"Response","year":2025,"lang":"en","type":"letter","venue":"CHEST Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003069109,0.001266293,0.001764861,0.001204469,0.008424382,0.0072392,0.002916385,0.111656,0.03951775],"category_scores_gemma":[0.02235161,0.001127273,0.002448173,0.0007496711,0.00303844,0.00292745,0.003992178,0.05761191,0.02626029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00723834,"about_ca_system_score_gemma":0.009085964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551536,"about_ca_topic_score_gemma":0.0264105,"domain_scores_codex":[0.9956585,0.0006834887,0.0003925737,0.0006874824,0.001100735,0.001477183],"domain_scores_gemma":[0.9925599,0.002266324,0.0005670072,0.0002480949,0.001655164,0.00270345],"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":[0.00003598073,0.00002187112,0.0004969743,0.00003233397,0.00001427488,0.001687119,0.000114572,0.0000479461,0.0001081976,0.001000119,0.9941063,0.002334221],"study_design_scores_gemma":[0.0001110353,0.00007090416,0.002021116,0.0003856987,0.00004003056,0.001596049,0.0009461816,0.0003457124,0.0001821099,0.003609752,0.990615,0.00007645882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0004619215,0.0005118903,0.00008417985,0.9516123,0.03872558,0.00004569823,0.00011342,0.00006356447,0.00838153],"genre_scores_gemma":[0.001580352,0.0002107516,0.00007716913,0.9645407,0.01290467,0.00004771558,0.00004512182,0.0000195245,0.02057395],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.111656,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918329026638707,"score_gpt":0.2899371553708508,"score_spread":0.2707538651044637,"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."}}