{"id":"W4402180537","doi":"10.1165/rcmb.2024-0369le","title":"Reply to Fujino <i>et al.</i> : Human Lung Cell Separation Strategies for Translational Research","year":2024,"lang":"en","type":"letter","venue":"American Journal of Respiratory Cell and Molecular Biology","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Translational research; Computational biology; Medicine; Biology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006197121,0.0002128807,0.0003374639,0.0004675378,0.00005181016,0.00006737058,0.0001814963,0.0001741244,0.000008632952],"category_scores_gemma":[0.00001098362,0.0001889053,0.0001239771,0.000256726,0.0001644673,0.00005215047,0.00001877105,0.001152791,0.000004643406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004965576,"about_ca_system_score_gemma":0.0002043083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001227693,"about_ca_topic_score_gemma":0.000001149569,"domain_scores_codex":[0.9986547,0.0001422472,0.0004184007,0.00025075,0.0002104621,0.0003234662],"domain_scores_gemma":[0.9993445,0.000128218,0.00008965513,0.0001487546,0.0001655641,0.0001233287],"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":[0.00001172907,0.0000103084,0.000004744219,0.00035557,0.00005750098,0.00003559969,0.0002059885,0.0004069456,0.1357421,0.00009780243,0.8610404,0.002031399],"study_design_scores_gemma":[0.0001530252,0.001057167,0.000009341713,0.00007087472,0.00003894209,0.00001570964,0.00007551532,0.0001286388,0.003538255,0.0006185128,0.9940912,0.0002028241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1293566,0.02644192,0.2360528,0.6001008,0.003305676,0.00110264,0.0002310631,0.0002075908,0.003200956],"genre_scores_gemma":[0.1753933,0.0003267326,0.005075457,0.8161021,0.002367909,0.0001026673,0.0002296339,0.000181643,0.0002205603],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2309773,"threshold_uncertainty_score":0.7703335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957627307302,"score_gpt":0.3360536721150435,"score_spread":0.3164773990420235,"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."}}