{"id":"W4313312400","doi":"10.1111/1460-6984.12840","title":"Measuring communication as a core outcome in aphasia trials: Results of the ROMA‐2 international core outcome set development meeting","year":2022,"lang":"en","type":"article","venue":"International Journal of Language & Communication Disorders","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Centre for Interdisciplinary Research in Rehabilitation; Western University; University of British Columbia; Université de Montréal","funders":"National Institute on Deafness and Other Communication Disorders; National Health and Medical Research Council; Medical Research Council; National Institute for Health and Care Research","keywords":"Aphasia; Psychology; Set (abstract data type); Outcome (game theory); Quality of life (healthcare); Clinical trial; Core (optical fiber); Clinical psychology; Medicine; Psychiatry; Psychotherapist; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4388524,0.002252204,0.007592226,0.003739079,0.001197089,0.006845525,0.002568992,0.004238634,0.004480204],"category_scores_gemma":[0.4939415,0.0008600246,0.01519005,0.004522861,0.001612371,0.003604516,0.006987995,0.00492139,0.001222921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007025703,"about_ca_system_score_gemma":0.01836859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788336,"about_ca_topic_score_gemma":0.001999879,"domain_scores_codex":[0.6069378,0.3015382,0.04947599,0.006019308,0.03280065,0.003228147],"domain_scores_gemma":[0.4723273,0.3724696,0.07391834,0.0176728,0.05874114,0.004870745],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.05796926,0.001170186,0.02231328,0.2096568,0.0518798,0.0001642806,0.003556708,0.004428871,0.001478861,0.009696935,0.04171799,0.595967],"study_design_scores_gemma":[0.1102772,0.02712556,0.2175296,0.3407311,0.1097402,0.0008889008,0.002252773,0.008343748,0.007927324,0.02252067,0.1516154,0.001047602],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1080467,0.4826089,0.07564223,0.06909052,0.007395152,0.1743237,0.0289647,0.001205849,0.05272217],"genre_scores_gemma":[0.4215555,0.09147087,0.1550217,0.01573868,0.002610906,0.2942581,0.01489838,0.0008974489,0.003548357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5611476,"threshold_uncertainty_score":0.6919949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4262418353155587,"score_gpt":0.5333005418759802,"score_spread":0.1070587065604215,"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."}}