{"id":"W2012516939","doi":"10.1145/1028664.1028742","title":"Advancements in multicode optimization","year":2004,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Java; Work (physics); Operating system; Engineering","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":[0.001787894,0.000968798,0.001052873,0.0008878735,0.000751544,0.00130556,0.002003207,0.0009493419,0.006257979],"category_scores_gemma":[0.006358968,0.0004903119,0.0009272759,0.001547507,0.000761958,0.002861537,0.002346094,0.002624355,0.001488662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008365207,"about_ca_system_score_gemma":0.001379017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776452,"about_ca_topic_score_gemma":0.002178914,"domain_scores_codex":[0.9984072,0.0004329336,0.00008096225,0.0003266216,0.0005810661,0.0001712811],"domain_scores_gemma":[0.9955186,0.001738657,0.000233662,0.001206021,0.001112654,0.0001903881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003710172,0.0003574195,0.002265876,0.0009635741,0.0001580358,0.0001030104,0.0002194614,0.1570967,0.01719729,0.1882796,0.01173611,0.6212519],"study_design_scores_gemma":[0.0001020644,0.0004441235,0.001357941,0.000356756,0.0001635545,0.0004680298,0.0001916438,0.6444765,0.02978193,0.1613137,0.1612454,0.00009840381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05208263,0.01797128,0.8790326,0.002508616,0.001012724,0.0001027677,0.0001531987,0.001805712,0.04533046],"genre_scores_gemma":[0.3496835,0.01460809,0.6132334,0.001292269,0.0008762553,0.0002842469,0.0003777626,0.001655832,0.01798859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006257979,"threshold_uncertainty_score":0.02093506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393749326547812,"score_gpt":0.2884942719769256,"score_spread":0.2745567787114475,"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."}}