{"id":"W4281653385","doi":"10.3389/frobt.2022.938775","title":"Editorial: Humanoid Robots for Real-World Applications","year":2022,"lang":"en","type":"editorial","venue":"Frontiers in Robotics and AI","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanoid robot; Computer science; Robotics; Robot; Artificial intelligence; Front (military); Human–computer interaction; Engineering; Mechanical engineering","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":[0.005105975,0.003404568,0.003548705,0.003778867,0.003226696,0.007341047,0.003316602,0.01623087,0.02316332],"category_scores_gemma":[0.01686017,0.001182023,0.002337041,0.00169095,0.002479927,0.005093109,0.001725932,0.01594688,0.03059438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431571,"about_ca_system_score_gemma":0.003209972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834723,"about_ca_topic_score_gemma":0.005312175,"domain_scores_codex":[0.9960521,0.0005528681,0.0003993478,0.0004026135,0.002358718,0.0002343944],"domain_scores_gemma":[0.9860246,0.004982966,0.0009810246,0.0003617906,0.005577029,0.002072524],"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":[0.00002176345,0.000007024046,0.00000755838,0.0001540496,0.000006816352,0.00005748449,0.000004670878,0.00001485903,0.0000328363,0.0001611144,0.9952437,0.004288081],"study_design_scores_gemma":[0.00003530833,0.00001292195,0.00008244441,0.0002763917,0.00001589375,0.0001347306,0.00001049053,0.00004310331,0.00004147384,0.0004729251,0.9988648,0.00000971182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000247201,0.01115685,0.0001729063,0.03027865,0.9526619,0.00003881807,0.00008178677,0.0000913727,0.005492978],"genre_scores_gemma":[0.0002911515,0.009339507,0.0001274148,0.03068068,0.9383464,0.00005164457,0.0000756802,0.00006723579,0.02102022],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02316332,"threshold_uncertainty_score":0.07748902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00527105713846115,"score_gpt":0.2370254174713326,"score_spread":0.2317543603328714,"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."}}