{"id":"W2792249633","doi":"10.4236/eng.2018.103006","title":"Distance Control and Positive Security for Intrinsic Equipment Working in Explosive Potential Atmospheres","year":2018,"lang":"en","type":"article","venue":"Engineering","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Explosive material; Intrinsic safety; MATLAB; Elevator; Process (computing); Control (management); Coal mining; Computer science; Computer security; Engineering; Simulation; Coal; Waste management; Artificial intelligence; Structural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164473,0.0001362513,0.0001911791,0.00003401131,0.00003987436,0.00004800823,0.00005830586,0.00007305505,0.000006441779],"category_scores_gemma":[0.00002933203,0.0001465976,0.00003264167,0.00009933177,0.00001452102,0.00009871603,0.00001212877,0.0001043036,0.000004153952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036857,"about_ca_system_score_gemma":0.000006530054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314483,"about_ca_topic_score_gemma":0.00002747526,"domain_scores_codex":[0.9993092,0.0000108981,0.0002114703,0.0001346877,0.00008084226,0.0002529026],"domain_scores_gemma":[0.9997605,0.00005897447,0.00002323545,0.00007656412,0.0000291799,0.00005152782],"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":[0.0009844634,0.0001743597,0.004323848,0.0007650313,0.00116932,0.00013078,0.01880363,0.6753044,0.1191939,0.05476933,0.003031339,0.1213496],"study_design_scores_gemma":[0.00234424,0.0000625685,0.002438369,0.0002207033,0.00001518494,0.000004905909,0.000136242,0.9894684,0.002565854,0.0001064068,0.002376136,0.0002609875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6569579,0.0009416658,0.338664,0.00009174929,0.001579482,0.0008972899,0.000016686,0.0003877676,0.0004634116],"genre_scores_gemma":[0.9988823,0.000006716627,0.0003557296,0.00001825097,0.0005981455,0.00009800061,0.000003672456,0.00002557721,0.00001160361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3419244,"threshold_uncertainty_score":0.5978075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005654491501048038,"score_gpt":0.1872328254724031,"score_spread":0.181578333971355,"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."}}