{"id":"W6987844998","doi":"","title":"On the use of artificial neural networks as quality control tool","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Economic and Technological Systems Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Quality (philosophy); Control (management); Data quality; Control network; Control system","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":[0.0007881974,0.00008283897,0.0001917016,0.00005712836,0.0001049248,0.00009536017,0.0001566395,0.0000739863,0.0007389172],"category_scores_gemma":[0.0003986495,0.00005085441,0.0001162686,0.0001919503,0.00006233943,0.0001662373,0.00004294248,0.0001167263,0.0000939942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001111408,"about_ca_system_score_gemma":0.000001843805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004858634,"about_ca_topic_score_gemma":0.0001371597,"domain_scores_codex":[0.9992108,0.0000125147,0.0003557277,0.0001396292,0.0001026391,0.0001787014],"domain_scores_gemma":[0.999119,0.0003594821,0.0002384938,0.0002287145,0.00004895839,0.000005286026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008663194,0.00005113983,0.01522654,0.000007436603,0.00004330849,0.00000309987,0.000002870264,0.001336216,0.0004917655,0.9542418,0.00247716,0.02603209],"study_design_scores_gemma":[0.001043273,0.00006690252,0.0825525,0.00004719067,0.0002143276,0.000001286684,0.0003345216,0.6473721,0.0002340752,0.2141405,0.05333943,0.0006538977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789835,0.000004283566,0.00886822,0.001443506,0.0001236173,0.0001495812,0.000001047225,0.00005886786,0.01036741],"genre_scores_gemma":[0.996658,4.43111e-7,0.00002252204,0.002805508,0.0003772579,0.000004887882,0.000002181962,0.000005602108,0.0001235838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7401013,"threshold_uncertainty_score":0.8090624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05465268914312619,"score_gpt":0.2438880366059163,"score_spread":0.1892353474627902,"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."}}