{"id":"W2100072750","doi":"10.5430/air.v1n1p31","title":"Performance analysis of neuro swarm optimization algorithm applied on detecting proportion of components in manhole gas mixture","year":2012,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Component (thermodynamics); Swarm behaviour; Hydrogen sulfide; Sensitivity (control systems); Carbon monoxide; Computer science; Algorithm; Process engineering; Materials science; Engineering; Chemistry; Artificial intelligence; Electronic engineering; Organic chemistry","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":[0.0003840011,0.0001001873,0.0002220088,0.0007034935,0.00004026396,0.00000709261,0.0001988973,0.0001113458,0.00001874107],"category_scores_gemma":[0.0002428454,0.0000988701,0.00004303942,0.002280902,0.0001379162,0.0001095071,0.00005414389,0.0004018197,0.000009531421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022592,"about_ca_system_score_gemma":0.00000320213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002137359,"about_ca_topic_score_gemma":0.000006819307,"domain_scores_codex":[0.9985427,0.00002974911,0.0004261241,0.0001606745,0.0004432568,0.0003974776],"domain_scores_gemma":[0.9993346,0.0001990901,0.00006526554,0.0002382779,0.0001199474,0.0000428579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002023356,0.00006635573,0.0008717142,0.0000335757,0.0000217663,4.154318e-7,0.0001226454,0.6106068,0.2498657,0.000146279,5.851977e-7,0.1382439],"study_design_scores_gemma":[0.000007845811,0.00002291047,0.0003675985,0.00001233388,0.000007942609,1.464408e-7,0.0001806101,0.4583015,0.5408301,0.0002212687,0.000002564637,0.00004519232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390594,0.00003802429,0.06031621,0.00001352006,0.00003884261,0.0002044756,0.0000030064,0.00007684272,0.0002496221],"genre_scores_gemma":[0.9948351,0.0001122304,0.004979422,0.000001474871,0.00002147207,0.00002154723,0.00001092906,0.00001603912,0.000001791083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2909644,"threshold_uncertainty_score":0.4031805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066371448699131,"score_gpt":0.3417188493709027,"score_spread":0.2350817045009896,"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."}}