{"id":"W1975112618","doi":"10.1145/2559206.2579529","title":"Medi, human robot interaction in pediatric health","year":2014,"lang":"en","type":"article","venue":"","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Human–robot interaction; Computer science; Robot; Human–computer interaction; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0007075273,0.0002732291,0.0001101692,0.0002979548,0.000708679,0.001071751,0.0002873761,0.0008509211,0.008601394],"category_scores_gemma":[0.001526126,0.0001479026,0.0002047945,0.0002182077,0.001201133,0.0006745302,0.000994991,0.0006102287,0.0008828376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813204,"about_ca_system_score_gemma":0.0007892949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384636,"about_ca_topic_score_gemma":0.00195155,"domain_scores_codex":[0.999478,0.000330829,0.00001613714,0.00005025527,0.00006237393,0.00006237786],"domain_scores_gemma":[0.9993383,0.0003674031,0.00009839227,0.00002308083,0.00003098032,0.0001417865],"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":[0.0009839062,0.001050935,0.06876444,0.002724059,0.0001082579,0.006032636,0.03587048,0.00486496,0.01690873,0.06393586,0.05695799,0.7417978],"study_design_scores_gemma":[0.0002419094,0.002339931,0.2049446,0.002074901,0.0001729938,0.02014153,0.03820676,0.01060747,0.008806182,0.03384319,0.6784648,0.0001558796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4535744,0.08725926,0.07482983,0.02273953,0.001934726,0.0005027958,0.0007418116,0.001791453,0.3566262],"genre_scores_gemma":[0.9468026,0.01222098,0.02301337,0.001491055,0.0002749542,0.0002891435,0.000136757,0.0000638882,0.01570718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008601394,"threshold_uncertainty_score":0.02877456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07349203154028157,"score_gpt":0.4666594534686776,"score_spread":0.393167421928396,"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."}}