{"id":"W7036719306","doi":"","title":"The conceptual design of robotic architectures using complexity criteria /","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Conceptual design; Selection (genetic algorithm); Rank (graph theory); Conceptual model; Robot; Robotics; Window (computing)","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"],"consensus_categories":[],"category_scores_codex":[0.001011553,0.0007281332,0.0007818794,0.0002633122,0.0008916458,0.00008699526,0.0009037042,0.0005738561,0.0001937618],"category_scores_gemma":[0.0003558422,0.0006293888,0.0002970613,0.0003939943,0.0002894333,0.0001440133,0.00007106807,0.001372257,0.00003817093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179914,"about_ca_system_score_gemma":0.00003727058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000212749,"about_ca_topic_score_gemma":0.0005084137,"domain_scores_codex":[0.9965386,0.0003113801,0.001078519,0.0005662009,0.0007019822,0.0008033512],"domain_scores_gemma":[0.9978597,0.0005182619,0.0003228794,0.0007720676,0.0003101731,0.0002169103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003307023,0.0001088539,0.000006837163,0.000800557,0.0006485192,0.00007590382,0.0001104885,0.5640802,0.2368472,0.07596227,0.00001302158,0.1210155],"study_design_scores_gemma":[0.0007913178,0.0003445627,0.0008386172,0.001403193,0.0005589681,0.0001187026,0.00132653,0.06451748,0.866905,0.05265772,0.007480087,0.003057774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753265,0.002701241,0.002316783,0.000003229008,0.004077354,0.001319545,0.000390746,0.0004763066,0.01338827],"genre_scores_gemma":[0.9914663,0.0002066359,0.007279139,0.0000345698,0.00007187197,0.00002672746,0.0001523284,0.0002227383,0.0005397022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6300579,"threshold_uncertainty_score":0.9996157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06829115202468346,"score_gpt":0.2970408997365198,"score_spread":0.2287497477118363,"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."}}