{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011906,0.0001025224,0.0002317317,0.000198754,0.0004471381,0.000004341981,0.00009844539,0.00009360976,0.0006583129],"category_scores_gemma":[0.0000896418,0.0000848524,0.00003157186,0.0002161246,0.000009073622,0.00009479778,0.00005219695,0.0007604954,0.000569239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364504,"about_ca_system_score_gemma":0.0001972296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553227,"about_ca_topic_score_gemma":0.006923254,"domain_scores_codex":[0.9979269,0.0005893802,0.0006024049,0.0002267366,0.0001510666,0.0005035366],"domain_scores_gemma":[0.9991633,0.0001992251,0.0001968437,0.000205155,0.0000304393,0.0002050481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002720322,0.0002888554,0.8816109,0.0009280023,0.000002345128,8.984664e-7,0.005282707,0.00001966921,0.00004684042,0.02036171,0.07840705,0.0130238],"study_design_scores_gemma":[0.001457906,0.0001339126,0.9668523,0.0002696127,0.000002900347,6.696914e-7,0.001374512,0.0002946134,0.000003764701,0.0008781407,0.02858309,0.0001485603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790398,0.0001616674,0.001832246,0.03253915,0.00281603,0.001294129,0.000002709821,0.0003563862,0.08195792],"genre_scores_gemma":[0.9847883,0.0001597935,0.0001749696,0.0115542,0.00166115,0.000004872071,0.00002015859,0.00001617031,0.001620405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1057485,"threshold_uncertainty_score":0.7316605,"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."}}