{"id":"W2025499600","doi":"10.1016/j.apmr.2014.08.025","title":"Toning It Down: Selecting Outcome Measures for Spasticity Management Using a Modified Delphi Approach","year":2014,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Spasticity; Delphi method; Delphi; Rehabilitation; Physical medicine and rehabilitation; Physical therapy; Outcome (game theory); Medicine; Psychology; Computer science; Artificial intelligence; Mathematics","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":[0.0002547889,0.000136263,0.0004076878,0.0001353711,0.00009436609,0.000003293652,0.0000487165,0.00004772778,0.000001371866],"category_scores_gemma":[0.001098375,0.00008765946,0.0001343909,0.0001369042,0.0003977488,0.00003404201,0.00002977405,0.0001714777,2.199508e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005606686,"about_ca_system_score_gemma":0.000006573861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001556807,"about_ca_topic_score_gemma":5.823656e-7,"domain_scores_codex":[0.9989044,0.00009589391,0.0003273085,0.0002905957,0.0001969081,0.0001848796],"domain_scores_gemma":[0.9970301,0.002602441,0.0001025525,0.0001253534,0.00004264245,0.00009694248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004905056,0.003621453,0.01594956,0.0129173,0.0009464006,0.000004987568,0.05829332,0.02075697,0.2302514,0.1245107,0.0003186256,0.5275242],"study_design_scores_gemma":[0.006011256,0.007583,0.03158211,0.0008429409,0.0007328684,0.000009230248,0.004805418,0.9007724,0.0002464662,0.04694102,0.0002256302,0.0002476537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125374,0.00006754958,0.1745109,0.004204843,0.00004499476,0.0008247461,0.000001257011,0.0000386861,0.007769602],"genre_scores_gemma":[0.9715472,0.00001326464,0.02789233,0.0003524003,0.000125113,0.00002421533,0.00000713001,0.00001230642,0.00002603932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800154,"threshold_uncertainty_score":0.3574649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04971130108869397,"score_gpt":0.3291885323609834,"score_spread":0.2794772312722895,"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."}}