{"id":"W4253994809","doi":"10.1109/mra.2015.2452199","title":"2015 Humanitarian Robotics and Automation Technology Challenge [Humanitarian Technology]","year":2015,"lang":"en","type":"article","venue":"IEEE Robotics & Automation Magazine","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Robotics; Automation; Artificial intelligence; Engineering; Robot; Computer science; Manufacturing engineering; Systems engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007355676,0.001422529,0.001201755,0.003267834,0.002158375,0.006118697,0.001712595,0.007984394,0.06397904],"category_scores_gemma":[0.01640175,0.0004478336,0.0009725151,0.00189959,0.001718447,0.004138295,0.003169612,0.003842113,0.04238892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00335864,"about_ca_system_score_gemma":0.0110925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139537,"about_ca_topic_score_gemma":0.03264545,"domain_scores_codex":[0.9949604,0.0005444266,0.000355392,0.0002176619,0.00316345,0.000758678],"domain_scores_gemma":[0.9899254,0.002329138,0.0005879973,0.0003839827,0.00517467,0.001598734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002944814,0.00002647706,0.0001916072,0.0001330938,0.000003831525,0.00004120122,0.00003057808,0.0002416593,0.0002971134,0.003682409,0.9805428,0.01477978],"study_design_scores_gemma":[0.00001178834,0.00005993577,0.00115638,0.000293093,0.000007610523,0.0000465172,0.0001419737,0.0006666858,0.000571092,0.002012719,0.9950026,0.00002968754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004487517,0.01618467,0.01253972,0.1383648,0.06470133,0.00138363,0.03843861,0.004072148,0.7198275],"genre_scores_gemma":[0.0627619,0.02465195,0.01370661,0.06873909,0.01674789,0.00147832,0.06459925,0.00149647,0.7458184],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06397904,"threshold_uncertainty_score":0.2140312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1026021770252106,"score_gpt":0.4055938048000356,"score_spread":0.302991627774825,"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."}}