{"id":"W4409111868","doi":"10.24908/cmj.v24i2.19249","title":"GOFO Selection","year":2024,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001524546,0.00007683544,0.00007649406,0.0002435176,0.00008747261,0.00003623939,0.00005999506,0.00005318906,0.0001830631],"category_scores_gemma":[0.00001447904,0.00008037276,0.00005020525,0.0001927738,0.000008682519,0.0002919283,0.000001310774,0.0002720112,0.000119581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769615,"about_ca_system_score_gemma":0.000176922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745952,"about_ca_topic_score_gemma":0.06035461,"domain_scores_codex":[0.9994336,0.00002162859,0.0001777449,0.00007681354,0.00006234543,0.0002278878],"domain_scores_gemma":[0.9995604,0.00001264719,0.000004335723,0.0000548036,0.00003415345,0.0003336745],"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":[0.000001760694,0.000001573009,0.0006110142,0.00004971848,0.0001233153,0.0002264916,0.0002549016,0.8497433,0.0004738121,0.0004146069,0.08108589,0.0670136],"study_design_scores_gemma":[0.0001044664,0.00002312854,0.0009210479,0.00006838153,0.00001483024,0.0008415747,0.00005871081,0.7457894,0.00001889545,0.0005737822,0.2514394,0.0001464337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09028845,0.1860742,0.6469263,0.001566458,0.02300859,0.000591973,0.00008459099,0.001612793,0.04984658],"genre_scores_gemma":[0.9962733,0.0004067477,0.001659822,0.00006565452,0.001012498,0.000003693019,0.00000487764,0.00003717318,0.0005361963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9059849,"threshold_uncertainty_score":0.9567915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002705554735275961,"score_gpt":0.1716274800358706,"score_spread":0.1689219253005946,"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."}}