{"id":"W4411281056","doi":"10.63144/ijt.2025.6708","title":"Reaching a Consensus on the Definition of Telerehabilitation: World Federation of Neurorehabilitation Telerehabilitation Special Interest Group","year":2025,"lang":"en","type":"article","venue":"International Journal of Telerehabilitation","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Telerehabilitation; Scope (computer science); Neurorehabilitation; Computer science; Consensus conference; Telemedicine; Medicine; Rehabilitation; Physical therapy; Political science; Health care; Library 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00760431,0.0002589911,0.0004897002,0.001809206,0.0003323788,0.0001539255,0.0009845711,0.0001888281,0.0002075319],"category_scores_gemma":[0.02982602,0.0002248076,0.0004683473,0.001319329,0.001285214,0.0006335618,0.00009028496,0.0006315294,0.000008464292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009623396,"about_ca_system_score_gemma":0.0006419098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003847971,"about_ca_topic_score_gemma":0.001349513,"domain_scores_codex":[0.9926489,0.002372572,0.002303817,0.0003775682,0.001995151,0.0003019628],"domain_scores_gemma":[0.9757236,0.01703301,0.001687853,0.0004020808,0.005060329,0.00009311749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001730834,0.001205358,0.01282053,0.000202905,0.0002335827,0.000004727294,0.0151044,0.0004333341,0.0193778,0.8149269,0.006927817,0.1270319],"study_design_scores_gemma":[0.002452303,0.002836596,0.3279401,0.002216634,0.0001202818,0.00001062634,0.03892648,0.0002719304,0.006419159,0.6089646,0.009390083,0.000451197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418246,0.0000706365,0.00276275,0.03920554,0.002359399,0.001183332,0.00003286231,0.00004440302,0.01251654],"genre_scores_gemma":[0.9832784,0.00003700861,0.0156358,0.0001866449,0.0007060323,0.00006756881,0.000009311269,0.00002350436,0.00005572986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3151196,"threshold_uncertainty_score":0.9783462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213078108706647,"score_gpt":0.4270006141615755,"score_spread":0.3056928032909108,"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."}}