{"id":"W2064042079","doi":"10.5539/ijsp.v4n2p95","title":"Comparative Study of the Quick Convergent Inflow Algorithm (QCIA) and the Modified Quick Convergent Inflow Algorithm (MQCIA)","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Inflow; Mathematics; Point (geometry); Set (abstract data type); Mathematical optimization; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005133958,0.0007479257,0.001109862,0.001315198,0.0004073826,0.001330547,0.0009588576,0.001395855,0.001882231],"category_scores_gemma":[0.01440197,0.0002989227,0.0005572615,0.0009865297,0.0007486491,0.001204849,0.0007047639,0.0009331239,0.0004075308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156644,"about_ca_system_score_gemma":0.001983591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003463921,"about_ca_topic_score_gemma":0.002687372,"domain_scores_codex":[0.9985235,0.000660653,0.000103574,0.0001254715,0.0004679503,0.0001188943],"domain_scores_gemma":[0.9893683,0.007452881,0.0005730385,0.0005433834,0.001818169,0.0002442242],"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":[0.001322795,0.0002571991,0.003475622,0.0003528608,0.0001398396,0.0001117779,0.0002276596,0.7026901,0.005691602,0.0125537,0.001505827,0.2716709],"study_design_scores_gemma":[0.00004977325,0.0001981157,0.0005268219,0.00001299617,0.00001653451,0.00003938045,0.00002259217,0.9952682,0.002510307,0.0007142003,0.0006290776,0.0000120246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1226919,0.0009672628,0.8676639,0.000200195,0.0001111364,0.0001725786,0.00004816875,0.001458506,0.006686275],"genre_scores_gemma":[0.4526716,0.0003801738,0.543905,0.0001212554,0.00003389812,0.0002497895,0.0001669654,0.0002817119,0.002189644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005133958,"threshold_uncertainty_score":0.02715129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447341545905738,"score_gpt":0.2870876548848006,"score_spread":0.2526142394257432,"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."}}