{"id":"W7096248838","doi":"","title":"Game Research at McGill Path-finding for Large Scale Multiplayer Computer Games","year":2006,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exploit; Variety (cybernetics); Scale (ratio); Context (archaeology); Computer game; Computation; Video game design","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002093898,0.001155549,0.0006042116,0.00107584,0.001357595,0.002353861,0.00241393,0.0009584005,0.03096635],"category_scores_gemma":[0.006317845,0.0005023329,0.0006526358,0.00124969,0.001459235,0.002761064,0.001405112,0.002110189,0.003594929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005069458,"about_ca_system_score_gemma":0.003822916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08928094,"about_ca_topic_score_gemma":0.1050252,"domain_scores_codex":[0.9986242,0.0005988323,0.00003927532,0.000241734,0.0003320076,0.0001639835],"domain_scores_gemma":[0.9976093,0.00112976,0.00005783638,0.0002683135,0.0004165832,0.0005182929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007239418,0.0008954574,0.001719461,0.0004612684,0.0000911672,0.0001630939,0.001471495,0.05109464,0.01219686,0.3929993,0.1520039,0.3861794],"study_design_scores_gemma":[0.0004915362,0.0008474399,0.003505458,0.0002617232,0.00009059432,0.0001939803,0.0005439228,0.3400673,0.009537074,0.239337,0.4049579,0.0001662175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05197036,0.007707084,0.6131669,0.01325028,0.001361432,0.00104426,0.001355216,0.007598031,0.3025464],"genre_scores_gemma":[0.357721,0.003255494,0.54455,0.001532954,0.000433878,0.0008997409,0.001560338,0.001080523,0.08896596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08928094,"threshold_uncertainty_score":0.1775225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09871329846140439,"score_gpt":0.3666379884953961,"score_spread":0.2679246900339918,"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."}}