{"id":"W4413514444","doi":"10.24908/cmj.v23i1.19386","title":"From Rowley to Arbour","year":2023,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":[0.001319593,0.0005114824,0.0004303927,0.00143282,0.005726214,0.006289839,0.0009194416,0.002501236,0.06950279],"category_scores_gemma":[0.007562468,0.0002814651,0.0002290904,0.001109109,0.003918732,0.004748818,0.002483076,0.007224828,0.02897933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00475125,"about_ca_system_score_gemma":0.003949469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03608486,"about_ca_topic_score_gemma":0.0676758,"domain_scores_codex":[0.9988325,0.000362503,0.00004373482,0.000249982,0.0003365512,0.0001747884],"domain_scores_gemma":[0.9977542,0.0006255792,0.00008941122,0.0001792762,0.0009027062,0.0004489433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001503774,0.00000967964,0.00006437994,0.00002998726,0.000002069539,0.00002449039,0.0003275334,0.00002248207,0.0000385803,0.09048441,0.8895989,0.01938239],"study_design_scores_gemma":[0.000002797081,0.000003797053,0.00006164563,0.00008450633,0.000001404137,0.00002881469,0.000274934,0.00002432543,0.00003077487,0.01058123,0.9889002,0.000005559701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00140128,0.05035367,0.002222209,0.4030115,0.0561468,0.00002259152,0.0002523427,0.0002032062,0.4863864],"genre_scores_gemma":[0.02798848,0.01203421,0.001047895,0.08353213,0.008168135,0.0000382219,0.0001080425,0.0003648105,0.8667181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06950279,"threshold_uncertainty_score":0.23251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818366135943848,"score_gpt":0.2680552422380369,"score_spread":0.2398715808785984,"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."}}