{"id":"W138448397","doi":"","title":"A Case-based Reasoning Approach to Imitating RoboCup Players","year":2008,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial intelligence; Process (computing); Simple (philosophy); Human–computer interaction; League; Multi-agent system; Spatial intelligence; Stateless protocol; Base (topology); Machine learning; Computer security","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":[0.003290223,0.001586913,0.0007210768,0.002055497,0.001488046,0.003148177,0.004611969,0.002618681,0.00680476],"category_scores_gemma":[0.01114593,0.0008821447,0.001199832,0.0008644538,0.002942353,0.003201827,0.002464641,0.001966617,0.001106766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593449,"about_ca_system_score_gemma":0.001527845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006075066,"about_ca_topic_score_gemma":0.007124507,"domain_scores_codex":[0.9976572,0.001164881,0.0001893328,0.0003290208,0.0005410819,0.0001184108],"domain_scores_gemma":[0.9958759,0.002669774,0.0003115891,0.0004675949,0.0004579517,0.0002172485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002452004,0.001223328,0.002817622,0.0004713275,0.0002410069,0.001886722,0.004453509,0.42637,0.01105196,0.3018725,0.006569766,0.2427972],"study_design_scores_gemma":[0.00007605828,0.0001202654,0.0003128923,0.00009742745,0.00005838724,0.000483138,0.0005574102,0.8796485,0.004919711,0.09533451,0.01832166,0.00007004826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008366716,0.0001274785,0.9786937,0.0006706762,0.00004986745,0.0003553722,0.00005925725,0.0004943276,0.01118264],"genre_scores_gemma":[0.1554717,0.0001413524,0.8404808,0.0001352979,0.00002820024,0.000322075,0.0001185333,0.00004478641,0.003257244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00680476,"threshold_uncertainty_score":0.02276421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651473487224235,"score_gpt":0.2509566747051221,"score_spread":0.1844419398328798,"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."}}