{"id":"W2359185973","doi":"","title":"Brief Introduction to the Integration Technology of RoboCup Match Robots","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Plan (archaeology); Robot; Artificial intelligence; Software; Robotics; Human–computer interaction; Software engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002314813,0.000666791,0.0003933382,0.0009308205,0.0007466485,0.001349293,0.000715797,0.00145634,0.01642477],"category_scores_gemma":[0.0004053214,0.0005727079,0.0005410657,0.001169069,0.0006283512,0.002186202,0.0009299612,0.001714055,0.00602351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006212306,"about_ca_system_score_gemma":0.0004624541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573879,"about_ca_topic_score_gemma":0.001454223,"domain_scores_codex":[0.9996997,0.0000410748,0.00002743775,0.00006863833,0.0001234635,0.00003978248],"domain_scores_gemma":[0.9998702,0.0000437909,0.00001266446,0.00001399583,0.00004265571,0.00001674136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008818621,0.0001941808,0.0008976535,0.001686925,0.0000509275,0.001026816,0.001020541,0.006831961,0.02639062,0.365436,0.06823561,0.5281406],"study_design_scores_gemma":[0.000005196475,0.000092683,0.0006123992,0.000161449,0.00001583951,0.001186013,0.00009591095,0.006062238,0.003345896,0.02534544,0.9630325,0.00004457645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004918979,0.09102057,0.7142196,0.003325976,0.004351134,0.0003602296,0.0004743251,0.001892563,0.1794366],"genre_scores_gemma":[0.1223018,0.1853225,0.3978352,0.005090083,0.005937463,0.001012373,0.001589922,0.0005292482,0.2803815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01642477,"threshold_uncertainty_score":0.05494636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007732196844422948,"score_gpt":0.2238087750304674,"score_spread":0.2160765781860444,"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."}}