{"id":"W1991528932","doi":"10.1108/17563780810857121","title":"Adaptive learning by a target‐tracking system","year":2008,"lang":"en","type":"article","venue":"International Journal of Intelligent Computing and Cybernetics","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Ethogram; Implementation; Space (punctuation); Quality (philosophy)","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":[0.0004345122,0.0002493397,0.0003353792,0.0001909688,0.0003431371,0.0007716189,0.0009060312,0.0007466026,0.004151118],"category_scores_gemma":[0.0009537534,0.0001808828,0.0003016608,0.0002073119,0.0005790032,0.0007267195,0.0007129112,0.0007498414,0.001107559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005071841,"about_ca_system_score_gemma":0.0006101162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829402,"about_ca_topic_score_gemma":0.001006648,"domain_scores_codex":[0.9997416,0.00003298609,0.00001564749,0.00009612311,0.00008849618,0.00002506402],"domain_scores_gemma":[0.999683,0.00009412257,0.00003921795,0.00005538433,0.00009751665,0.00003083035],"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":[0.000281394,0.0002480943,0.002026965,0.000208424,0.00008226393,0.0003556618,0.0003315726,0.5844535,0.09719917,0.0585103,0.002600275,0.2537024],"study_design_scores_gemma":[0.00002810459,0.000202219,0.0004987092,0.00001745234,0.00001451813,0.00009739739,0.00001728573,0.9789096,0.008727782,0.005264538,0.006205405,0.00001692794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04095729,0.0001820744,0.9357743,0.0002970805,0.0001053536,0.0001191698,0.00003495435,0.001561904,0.0209679],"genre_scores_gemma":[0.8606431,0.0001842288,0.1236979,0.0002105353,0.00005402685,0.0001991543,0.00005711617,0.00005076355,0.01490316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004151118,"threshold_uncertainty_score":0.01388681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461958202540727,"score_gpt":0.2819123869717912,"score_spread":0.257292804946384,"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."}}