{"id":"W2753283383","doi":"10.1183/13993003.01516-2017","title":"SERVE-HF on-treatment analysis: does the on-treatment analysis SERVE its purpose?","year":2017,"lang":"en","type":"letter","venue":"European Respiratory Journal","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute; Toronto General 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.426052,0.003040839,0.02233605,0.004399864,0.002422751,0.01105911,0.007470451,0.02318244,0.02330141],"category_scores_gemma":[0.7110028,0.001931458,0.01175596,0.007092797,0.01383847,0.01428064,0.00479881,0.01555297,0.003789689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0058408,"about_ca_system_score_gemma":0.008552798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004236002,"about_ca_topic_score_gemma":0.002882841,"domain_scores_codex":[0.4031703,0.536495,0.02433101,0.01165965,0.02235152,0.001992428],"domain_scores_gemma":[0.1201525,0.8277661,0.01767304,0.02121923,0.01143679,0.001752313],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03605473,0.0009199351,0.01307138,0.1223937,0.06661215,0.0005186308,0.003379754,0.002351806,0.0004582094,0.1439869,0.1684321,0.4418208],"study_design_scores_gemma":[0.03050113,0.005790628,0.01440458,0.1910165,0.05180345,0.0008561744,0.002466733,0.02197059,0.00118845,0.4093876,0.2694523,0.001161934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009836531,0.4973241,0.0740416,0.2886932,0.1053057,0.0033107,0.002671557,0.0006858493,0.01813079],"genre_scores_gemma":[0.2330328,0.09760529,0.1030828,0.4063121,0.1397294,0.01154682,0.002262318,0.001812718,0.004615829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.426052,"threshold_uncertainty_score":0.7077801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0730722422486767,"score_gpt":0.342354058716076,"score_spread":0.2692818164673993,"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."}}