{"id":"W1490099585","doi":"10.1023/a:1014005728519","title":"Roball, the Rolling Robot","year":2002,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robot; Robustness (evolution); Human–computer interaction; Mobile robot; Artificial intelligence; Simulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001765637,0.0007565349,0.000535982,0.0008143939,0.000573697,0.001101237,0.0007213238,0.0009147579,0.00883155],"category_scores_gemma":[0.0004882444,0.0002423199,0.0002283259,0.000882304,0.0007328371,0.001445195,0.0007171862,0.0009699575,0.005586758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003522448,"about_ca_system_score_gemma":0.0003630615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308628,"about_ca_topic_score_gemma":0.00257146,"domain_scores_codex":[0.9997198,0.0000276922,0.000008508222,0.00006413685,0.0001570498,0.00002282482],"domain_scores_gemma":[0.9998676,0.00001915237,0.00002043297,0.00002243958,0.00004175001,0.00002878816],"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":[0.0001935763,0.00004386954,0.0003469296,0.0005642113,0.00003267833,0.0002303998,0.0001490746,0.006975188,0.033634,0.1410711,0.192964,0.6237951],"study_design_scores_gemma":[0.00004999465,0.0001149753,0.0007579883,0.00007132456,0.00003522198,0.0005130992,0.00005374698,0.01966115,0.0173291,0.0526033,0.9087628,0.00004728133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01535558,0.04768756,0.6054027,0.006116379,0.004733248,0.0001558856,0.001544446,0.0200235,0.2989808],"genre_scores_gemma":[0.2260379,0.02203271,0.3675996,0.002492384,0.001898775,0.000319119,0.003983818,0.00204682,0.3735889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00883155,"threshold_uncertainty_score":0.02954453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297631688520799,"score_gpt":0.1870075950598988,"score_spread":0.1640312781746908,"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."}}