{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003784283,0.001230635,0.002476035,0.0006473301,0.0006208041,0.0009840061,0.001200015,0.002023106,0.009262726],"category_scores_gemma":[0.00590018,0.0006801916,0.002413929,0.0006355376,0.0012419,0.001135623,0.0006480903,0.002178634,0.0006267488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009060636,"about_ca_system_score_gemma":0.002363322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849598,"about_ca_topic_score_gemma":0.003147445,"domain_scores_codex":[0.9978116,0.001370344,0.0002319924,0.0002212585,0.0001717124,0.0001930867],"domain_scores_gemma":[0.9965686,0.001617141,0.0007761116,0.0002407592,0.0002656274,0.0005317965],"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":[0.9447518,0.024261,0.000915569,0.003226555,0.001180177,0.00009873774,0.0002391369,0.0002266596,0.001265517,0.0001349028,0.0006481626,0.02305175],"study_design_scores_gemma":[0.8703868,0.1262165,0.001846446,0.0001361363,0.0004014838,0.00002800885,0.00007164236,0.0001835689,0.0001912877,0.00005547302,0.0004711707,0.00001146268],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437839,0.004522691,0.001146143,0.0007193238,0.0005896595,0.04641682,0.001187329,0.0001762632,0.001457927],"genre_scores_gemma":[0.8878726,0.003995767,0.0092696,0.0009076435,0.0004642245,0.09501634,0.0006132218,0.00002411324,0.001836436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009262726,"threshold_uncertainty_score":0.03098685,"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."}}