{"id":"W2040571030","doi":"10.1109/robot.2004.1308786","title":"Coaching a robot collective","year":2004,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Robot; Computer science; Context (archaeology); Coaching; Abstraction; Human–computer interaction; Artificial intelligence; Selection (genetic algorithm); Telerobotics; Mobile robot; Psychology","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":[0.0004627112,0.0003120822,0.0003180468,0.0003164197,0.001165858,0.0009100434,0.0005524384,0.0007935083,0.004520346],"category_scores_gemma":[0.001589368,0.0001851936,0.0002444406,0.0002222745,0.001612135,0.001112312,0.001771368,0.0009470216,0.000709667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151745,"about_ca_system_score_gemma":0.0006017049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009991432,"about_ca_topic_score_gemma":0.0009821398,"domain_scores_codex":[0.9995931,0.0001030455,0.00001164972,0.0001389153,0.0001025552,0.00005068793],"domain_scores_gemma":[0.9991544,0.0002470215,0.0001327971,0.0002133489,0.0001059093,0.0001464939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003391229,0.0004203654,0.01161103,0.0004022613,0.0001853034,0.0012461,0.00858475,0.1922499,0.1261314,0.2953074,0.007446231,0.3560762],"study_design_scores_gemma":[0.0001264457,0.001371223,0.0083837,0.0001464313,0.0001381196,0.001144764,0.005039278,0.6029582,0.03276195,0.2221334,0.1256626,0.0001337952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2365181,0.0002599158,0.7166729,0.001320242,0.0001589638,0.0001612747,0.00002429675,0.0009105304,0.04397384],"genre_scores_gemma":[0.9108522,0.0001409275,0.0699464,0.0002444163,0.00004942827,0.0001384984,0.00003671162,0.00005341179,0.01853807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004520346,"threshold_uncertainty_score":0.01512212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418227909463526,"score_gpt":0.2133564579250438,"score_spread":0.1991741788304085,"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."}}