{"id":"W2808236905","doi":"10.1002/pbc.27242","title":"Using the MEDiPORT humanoid robot to reduce procedural pain and distress in children with cancer: A pilot randomized controlled trial","year":2018,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; University of Calgary; Institute for Clinical Evaluative Sciences; Children's Hospital of Eastern Ontario; Hospital for Sick Children; University of Ottawa","funders":"Hospital for Sick Children; Pediatric Oncology Group of Ontario","keywords":"Medicine; Randomized controlled trial; Distress; Humanoid robot; Pediatric cancer; Physical therapy; Blood cancer; Cancer; Physical medicine and rehabilitation; Robot; Surgery; Artificial intelligence; Clinical psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002981698,0.000384267,0.001457862,0.0003822922,0.0001706726,0.00005774201,0.0002596019,0.00009073623,0.00007711795],"category_scores_gemma":[0.0008049785,0.0002306633,0.0001374071,0.0009155103,0.0002517607,0.0001066472,0.0001171468,0.0003175099,0.000001141394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303384,"about_ca_system_score_gemma":0.0005604482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003230991,"about_ca_topic_score_gemma":0.0005995916,"domain_scores_codex":[0.9969586,0.0004771852,0.000763506,0.0006164385,0.0006194322,0.0005648406],"domain_scores_gemma":[0.9984198,0.000372234,0.0004233816,0.0003952992,0.0001849502,0.0002043431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.6698001,0.0004379895,0.3242925,0.000142409,0.0007167899,0.00001510446,0.0003675195,0.00002514022,0.0001559427,0.00001369207,0.003080719,0.0009521093],"study_design_scores_gemma":[0.9596298,0.001504044,0.03179228,0.0001481298,0.005838545,0.0000199896,0.00003883705,0.0004284492,0.00009431806,0.0000453527,0.0000572181,0.0004030253],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781932,0.004621259,0.000724822,0.001751783,0.0002112666,0.01406999,0.00001661383,0.0001758288,0.0002352785],"genre_scores_gemma":[0.9825225,0.002525434,0.001224939,0.001407733,0.005999139,0.006005616,0.000009811144,0.0000566382,0.0002482311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2925002,"threshold_uncertainty_score":0.9406176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886104603728686,"score_gpt":0.3100025931163417,"score_spread":0.2911415470790548,"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."}}