{"id":"W6902460180","doi":"10.6084/m9.figshare.28766857.v1","title":"Additional file 1 of Expert consensus on implementing patient-reported outcomes in telehealth: findings from an international Delphi study","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Delphi method; Delphi; Data collection; Expert system; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009418874,0.0009017358,0.001010919,0.0048548,0.001395595,0.001965171,0.002223381,0.001404376,0.8825403],"category_scores_gemma":[0.1312914,0.0006552649,0.0007892787,0.005835043,0.0004662217,0.002533956,0.001782068,0.001214619,0.1163953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002808588,"about_ca_system_score_gemma":0.005017025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008357225,"about_ca_topic_score_gemma":0.0157158,"domain_scores_codex":[0.995713,0.001838805,0.0009111678,0.0003727904,0.0007718672,0.0003924351],"domain_scores_gemma":[0.7978154,0.1783101,0.004463185,0.003791262,0.01433883,0.001281333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003672085,0.000297433,0.002556284,0.005731826,0.00003271515,0.00007744897,0.0009536472,0.0003803279,0.00005942048,0.001743762,0.9601169,0.02768317],"study_design_scores_gemma":[0.009057444,0.0007226907,0.0661353,0.02830993,0.0002969823,0.0006833745,0.01711338,0.004501107,0.001256174,0.02868079,0.8428915,0.0003513887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001911401,0.00004669769,0.001796927,0.0008307945,0.0001440335,0.002346547,0.9850103,0.0003220153,0.007591246],"genre_scores_gemma":[0.05668458,0.0005068364,0.0365895,0.002844553,0.0002565473,0.09808793,0.7599616,0.001010141,0.04405832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8825403,"threshold_uncertainty_score":0.167542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07365014601505451,"score_gpt":0.4354342866923085,"score_spread":0.361784140677254,"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."}}