{"id":"W4366721636","doi":"10.1002/aisy.202200284","title":"Energy in Robotics: An Interdisciplinary Challenge","year":2023,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"","keywords":"Robot; Robotics; Artificial intelligence; Software deployment; Computer science; Metric (unit); Energy (signal processing); Matching (statistics); Human–computer interaction; Engineering; Operations management; Mathematics; Software 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":[0.007480921,0.001574812,0.003021998,0.002775274,0.003409179,0.009247432,0.004199996,0.01389695,0.01016587],"category_scores_gemma":[0.009323331,0.0007415582,0.001588838,0.002302255,0.01781091,0.02457649,0.006183963,0.01479138,0.004762058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004932941,"about_ca_system_score_gemma":0.004061678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075228,"about_ca_topic_score_gemma":0.001517199,"domain_scores_codex":[0.9941355,0.002466523,0.0002475024,0.0008351428,0.001889455,0.0004259356],"domain_scores_gemma":[0.9892688,0.00734882,0.0002924129,0.0008908591,0.001605021,0.0005940309],"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":[0.00001659014,0.00004697825,0.0001121366,0.0005579572,0.00002573499,0.0000766321,0.0004755201,0.001542874,0.0001894307,0.8906817,0.05367965,0.05259479],"study_design_scores_gemma":[0.000005369517,0.00002627949,0.0001023683,0.0006955802,0.0000064213,0.0001018769,0.0006283684,0.0007353881,0.00007575111,0.7208521,0.2767428,0.00002776271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002021231,0.5356075,0.03561521,0.3460966,0.01293262,0.00002936149,0.0001292518,0.0001808099,0.06738742],"genre_scores_gemma":[0.1413565,0.6359852,0.04502748,0.07868528,0.04607276,0.0003227433,0.0002898457,0.0006489752,0.05161115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01389695,"threshold_uncertainty_score":0.03956336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764084665304784,"score_gpt":0.2887257755679852,"score_spread":0.2610849289149374,"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."}}