{"id":"W2145665543","doi":"10.1165/ajrcmb.34.3.383","title":"Erratum: Name Change","year":2006,"lang":"en","type":"erratum","venue":"American Journal of Respiratory Cell and Molecular Biology","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada)","funders":"","keywords":"Computational biology; Medicine; Biology","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":[0.003461214,0.00149507,0.002082811,0.003427144,0.004860265,0.004585688,0.002875659,0.01044936,0.06669839],"category_scores_gemma":[0.03115802,0.001032187,0.001907909,0.002044402,0.001454687,0.002197253,0.001808262,0.0124636,0.06819221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004796489,"about_ca_system_score_gemma":0.005706121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936851,"about_ca_topic_score_gemma":0.0323771,"domain_scores_codex":[0.9950504,0.0005547951,0.0007415156,0.0005801002,0.002494192,0.0005789979],"domain_scores_gemma":[0.9858882,0.003093099,0.0007510702,0.0009698658,0.008164452,0.001133256],"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":[0.00001932941,0.000009587374,0.00004837905,0.000030177,0.000003331114,0.0001746489,0.00001251431,0.00001117893,0.00002493375,0.0002223663,0.9965801,0.002863473],"study_design_scores_gemma":[0.00002828721,0.0000305051,0.000972589,0.0001989541,0.00002339228,0.0003151533,0.0001216426,0.0000822873,0.0001899853,0.0005951566,0.9974188,0.0000232964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002647086,0.0007763698,0.0002456919,0.06467181,0.9202918,0.00005590348,0.0006249013,0.0002172176,0.01285155],"genre_scores_gemma":[0.007194616,0.003643906,0.0023677,0.2321083,0.1552088,0.0001877987,0.002254123,0.0009405539,0.5960942],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06669839,"threshold_uncertainty_score":0.2231283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156897667216964,"score_gpt":0.437521680947846,"score_spread":0.3759527042756764,"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."}}