{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001697685,0.0004357563,0.0006863457,0.001141106,0.001188743,0.00004098846,0.0004421734,0.001393354,0.00009142909],"category_scores_gemma":[0.000687697,0.0004574276,0.00006094875,0.0010329,0.0003373314,0.0004740622,0.0002251367,0.001472942,0.002124355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006095686,"about_ca_system_score_gemma":0.0006267142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008098897,"about_ca_topic_score_gemma":0.001520665,"domain_scores_codex":[0.9958386,0.0005757087,0.001462306,0.0006224638,0.0005708283,0.0009300238],"domain_scores_gemma":[0.9965188,0.0002895612,0.0007068299,0.000940098,0.00118609,0.0003586475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007582593,0.0004181364,0.00865807,0.001166222,0.0001377475,0.00004720302,0.008185259,0.02345718,0.0004723842,0.9292604,0.02004959,0.008072045],"study_design_scores_gemma":[0.0109735,0.003065063,0.0465751,0.002257472,0.0005533698,0.0002050277,0.03158806,0.256038,0.0001257369,0.5754482,0.06991843,0.003252041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1430579,0.004804505,0.1890499,0.6125273,0.01189117,0.007644242,0.0002193228,0.01170709,0.01909864],"genre_scores_gemma":[0.9480342,0.0002950947,0.04673393,0.001360163,0.0008900556,0.0002451016,0.000248049,0.0001339348,0.00205943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8049763,"threshold_uncertainty_score":0.999903,"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."}}