{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001518958,0.001031682,0.001167183,0.004951168,0.002854508,0.004845032,0.001639782,0.001798636,0.820793],"category_scores_gemma":[0.01206524,0.0004181887,0.0009512333,0.002201864,0.0005043076,0.001612983,0.003039625,0.001732629,0.6609535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348634,"about_ca_system_score_gemma":0.003600481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404886,"about_ca_topic_score_gemma":0.01007612,"domain_scores_codex":[0.9986375,0.0001899646,0.00006409957,0.0001875265,0.0006265481,0.0002943512],"domain_scores_gemma":[0.9936866,0.0006991157,0.0001729114,0.0008491122,0.002570227,0.002021883],"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":[0.00006663369,0.00002598938,0.0001752648,0.00007245847,0.000003373749,0.00005493467,0.00001802991,0.00002951471,0.0001796403,0.001321524,0.9512923,0.04676026],"study_design_scores_gemma":[0.00002498557,0.00001227498,0.0003433493,0.00007079719,0.00000361449,0.00007170672,0.00003109,0.00007270699,0.0001660714,0.001137221,0.9980599,0.000006312884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001857338,0.0006532499,0.003955562,0.006498269,0.009099727,0.0007316499,0.02892389,0.00536864,0.9429116],"genre_scores_gemma":[0.008879856,0.0005982713,0.004248833,0.00472609,0.002006897,0.0008416389,0.02685972,0.00621115,0.9456275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.820793,"threshold_uncertainty_score":0.2556169,"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."}}