{"id":"W4411289303","doi":"10.1016/j.cjco.2025.06.008","title":"Author Corrections to “Using implementation science to evaluate the implementation of patient-reported outcome measures (PROMs) in a clinical heart failure care setting [CJC Open. (2024) 1-10]”","year":2025,"lang":"en","type":"article","venue":"CJC Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Patient-reported outcome; Outcome (game theory); Medical physics; Medicine; Computer science; Psychology; Nursing; Mathematics; Quality of life (healthcare)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03592307,0.0001900926,0.0009788695,0.0006853088,0.0006483,0.0005781101,0.001096369,0.0000781226,0.0006906719],"category_scores_gemma":[0.00477797,0.00020317,0.00009707612,0.00148072,0.00008105356,0.0009355453,0.0009330398,0.000192765,0.0001656277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131113,"about_ca_system_score_gemma":0.001499503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01895583,"about_ca_topic_score_gemma":0.01639704,"domain_scores_codex":[0.9918258,0.0007046137,0.005880649,0.0008764761,0.0002346636,0.0004778608],"domain_scores_gemma":[0.9966001,0.0005313557,0.001475737,0.0007601205,0.0004475476,0.0001851412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005992414,0.00008356398,0.9386346,0.0001105142,0.00008583593,6.729427e-7,0.0131132,0.001092962,0.000130871,0.004602409,0.03321945,0.008866017],"study_design_scores_gemma":[0.003475152,0.0004362621,0.7302413,0.0003369326,0.00006580471,0.000004946628,0.1819608,0.001807592,0.0005848467,0.001761641,0.07870755,0.0006171718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500141,0.00008833525,0.001416809,0.03849823,0.00166394,0.007041425,0.0002359381,0.00001832072,0.00102289],"genre_scores_gemma":[0.9819392,0.000001618813,0.00971224,0.007229333,0.0000653044,0.0006819717,0.00003892539,0.00002173662,0.0003096693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2083933,"threshold_uncertainty_score":0.9927201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4754498397217908,"score_gpt":0.5931066381566727,"score_spread":0.117656798434882,"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."}}