{"id":"W2996227322","doi":"10.32370/ia_2019_12_15","title":"Complex Integration of Aerodynamic Micro-Foam Generators into Specialized Technological Devices with Artificial Intelligence and Artificial Neural Networks for System Control","year":2019,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerodynamics; Computer science; Mechanical engineering; Artificial intelligence; Engineering","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":[0.0002854358,0.0002590812,0.0004716962,0.0002431806,0.00007071672,0.00002711455,0.0002493622,0.0002106824,0.00001470358],"category_scores_gemma":[0.0003150054,0.0002056815,0.00006983501,0.0002375742,0.0003778742,0.00005799744,0.00005274037,0.0003568481,0.000005770678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004702253,"about_ca_system_score_gemma":0.00001161029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001241552,"about_ca_topic_score_gemma":0.0001084337,"domain_scores_codex":[0.9988139,0.00008093817,0.0004271732,0.0002929493,0.00008513001,0.0002999119],"domain_scores_gemma":[0.9984523,0.001159554,0.00007276188,0.0002130687,0.00006139276,0.00004090726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001126937,0.0000493331,0.000204808,0.0003798701,0.0002516494,0.000006020952,0.001309399,0.357946,0.4139584,0.04937056,0.00006560334,0.1753314],"study_design_scores_gemma":[0.0001632501,0.0004909162,0.0001997165,0.0000839524,0.0000431294,0.00002586883,0.001338886,0.9180698,0.07471775,0.004518937,0.00008315664,0.0002645782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4399509,0.0001267671,0.5588856,0.00002756242,0.0001760411,0.0004054792,0.00001394357,0.0003721275,0.00004162657],"genre_scores_gemma":[0.9304226,0.00002145779,0.06934226,0.00001235985,0.00007619848,0.0000700351,0.00002336144,0.00002939744,0.000002314554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5601238,"threshold_uncertainty_score":0.8387446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819185075585077,"score_gpt":0.2541986964036815,"score_spread":0.2160068456478307,"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."}}