{"id":"W2889051587","doi":"10.5267/j.ijdns.2018.8.003","title":"Roundness error measurement using teaching learning based optimization algorithm and comparison with particle swarm optimization algorithm","year":2018,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Particle swarm optimization; Computer science; Optimization algorithm; Multi-swarm optimization; Artificial intelligence; Mathematics; Mathematical optimization","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":[0.001219324,0.00008584798,0.0001348538,0.00008805064,0.0002063838,0.0002158783,0.0003683735,0.00003347589,0.000006579468],"category_scores_gemma":[0.00006191751,0.00006923094,0.000008421951,0.0001881783,0.0002127691,0.0009215114,0.0001059627,0.0001787482,2.555001e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008202236,"about_ca_system_score_gemma":0.00005092803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001586354,"about_ca_topic_score_gemma":0.000005889571,"domain_scores_codex":[0.99884,0.00003126443,0.0002747422,0.0001601239,0.0005223937,0.0001714714],"domain_scores_gemma":[0.9992676,0.00003052048,0.0001383614,0.0001075872,0.0003735522,0.00008235669],"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":[0.00001039411,0.00001713168,0.001085725,0.000002985981,0.00002427808,0.000003846141,0.00005948294,0.9491349,0.0001219544,0.00002825825,0.00002318363,0.0494878],"study_design_scores_gemma":[0.0003751903,0.0001312418,0.0001867185,0.0001406203,0.00002078255,0.00007534869,0.0001172552,0.9981452,0.000279384,0.000009226432,0.0004315587,0.00008753289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03663956,0.0001988995,0.9625691,0.00009957838,0.0003816804,0.00004744898,0.000004241714,0.0000273868,0.00003215941],"genre_scores_gemma":[0.6111187,0.00001737957,0.3886108,0.00001529641,0.0002267381,4.001142e-7,0.000003696411,0.000006120096,9.675281e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5744791,"threshold_uncertainty_score":0.2823156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04264022998904709,"score_gpt":0.301512127541769,"score_spread":0.2588718975527219,"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."}}