{"id":"W4409602065","doi":"10.1007/978-3-031-85859-8_13","title":"Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Pleiades Robotics (Canada)","funders":"","keywords":"Computer science; Open source; Artificial intelligence; Human–computer interaction; Programming language","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":[0.0007133305,0.001832461,0.0009102933,0.001099538,0.0005667253,0.001519726,0.003641641,0.001357849,0.05396625],"category_scores_gemma":[0.001624046,0.001582184,0.001590206,0.0006234536,0.0004712864,0.001400688,0.00267548,0.002196788,0.01795443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006579743,"about_ca_system_score_gemma":0.001263834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005096751,"about_ca_topic_score_gemma":0.007456418,"domain_scores_codex":[0.9995085,0.00005899456,0.00003316922,0.00006909105,0.0002631965,0.00006702694],"domain_scores_gemma":[0.9995428,0.0001298884,0.00002847745,0.0000755439,0.0001572141,0.00006612221],"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":[0.0007939022,0.0006217012,0.003266721,0.001883848,0.0004899294,0.0008751646,0.001005331,0.1804297,0.04242799,0.04859238,0.3455563,0.3740571],"study_design_scores_gemma":[0.0002822471,0.0002013428,0.001744821,0.0002921897,0.0001277035,0.0007438364,0.000126786,0.4490844,0.0291569,0.02105844,0.4969437,0.0002377945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005253066,0.0004959065,0.7770982,0.0001512872,0.0002421855,0.0003364141,0.003847439,0.1877762,0.02479939],"genre_scores_gemma":[0.1411224,0.00161658,0.5477051,0.0009381259,0.0001586638,0.001839288,0.03023027,0.1994042,0.0769854],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05396625,"threshold_uncertainty_score":0.1805351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769586452825879,"score_gpt":0.3641669075677229,"score_spread":0.3264710430394641,"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."}}