{"id":"W4413950915","doi":"10.1016/j.mcpdig.2025.100260","title":"A Technology Selection Tool Applying Multiple Criteria Decision Analysis for Virtual Care Implementation","year":2025,"lang":"en","type":"article","venue":"Mayo Clinic Proceedings Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Royal University Hospital; Saskatchewan Health Authority","funders":"Mitacs; University of Saskatchewan","keywords":"Selection (genetic algorithm); Computer science; Decision analysis; Management science; Process management; Operations research; Engineering; Artificial intelligence; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005582496,0.0002302403,0.0006513101,0.001377072,0.000363032,0.0001010631,0.0001076313,0.0001560778,0.00008643823],"category_scores_gemma":[0.0006710052,0.0002240563,0.0001898503,0.002468013,0.00004704239,0.0003733135,0.00006363916,0.0002232663,0.00001237311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005705196,"about_ca_system_score_gemma":0.0005954175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008341917,"about_ca_topic_score_gemma":0.0001406487,"domain_scores_codex":[0.9972302,0.000007584416,0.001267078,0.0006063934,0.0003023698,0.0005863798],"domain_scores_gemma":[0.9984003,0.000237198,0.0004249777,0.000135878,0.0006443557,0.0001572923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004778268,0.0000867976,0.4276708,0.000579569,0.000173558,3.812136e-7,0.0005062715,4.286566e-7,0.0000712667,0.0004708716,0.006183079,0.5637792],"study_design_scores_gemma":[0.03129042,0.01624997,0.5645106,0.001067673,0.002039266,0.00005721181,0.1122254,0.005057933,0.00252147,0.00543149,0.2585716,0.0009768774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252048,0.0002067192,0.06470411,0.004333131,0.00038127,0.004191367,0.0001649689,0.0003828514,0.0004307786],"genre_scores_gemma":[0.9885305,0.00005592535,0.006725902,0.002583659,0.0001766943,0.0008591786,0.0007981696,0.00002705477,0.0002429277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5628023,"threshold_uncertainty_score":0.9136751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462402537142364,"score_gpt":0.4383525939174199,"score_spread":0.4037285685459963,"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."}}