{"id":"W2940706799","doi":"10.1007/s00247-019-04407-3","title":"Easing anxiety in preparation for pediatric magnetic resonance imaging: a pilot study using animal-assisted therapy","year":2019,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Sedation; Anxiety; Magnetic resonance imaging; Neuroradiology; Intervention (counseling); Physical therapy; Radiology; Neurology; Surgery; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001302534,0.0003471426,0.0006925502,0.0009603882,0.0000857687,0.00003083299,0.0002608627,0.0001145709,0.00004726754],"category_scores_gemma":[0.000273664,0.0003472681,0.0001098284,0.00128564,0.00003708043,0.0001987875,0.00008019486,0.0002950202,0.00001831721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090606,"about_ca_system_score_gemma":0.0002235692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001176041,"about_ca_topic_score_gemma":0.00001014669,"domain_scores_codex":[0.9969989,0.0003640829,0.000775408,0.0008923409,0.0002984172,0.0006708591],"domain_scores_gemma":[0.9984894,0.000353312,0.0003048397,0.0006089773,0.0001370075,0.0001064597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001818517,0.0009875444,0.9913781,0.0001068768,0.000009678693,0.00002878816,0.0001906374,0.00001504539,0.001447898,0.00001581288,0.001377407,0.002623723],"study_design_scores_gemma":[0.006265334,0.006816394,0.9783787,0.000006245349,0.0002671463,0.00007525425,0.00008724825,0.006891321,0.00001067864,0.000112782,0.000742052,0.0003468378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776148,0.01489423,0.0007487927,0.0001396537,0.0002838225,0.005570014,0.000006982672,0.0003047299,0.0004369672],"genre_scores_gemma":[0.9887961,0.0030733,0.005919884,0.0002593115,0.001374082,0.0003520215,0.00002308922,0.00006598392,0.0001362763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299937,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438761821829037,"score_gpt":0.320801913590459,"score_spread":0.2864142953721687,"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."}}