{"id":"W2171510151","doi":"","title":"Extended Abstract: Estimation of froth quality using Bayesian information synthesis","year":2011,"lang":"en","type":"article","venue":"International Symposium on Advanced Control of Industrial Processes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Syncrude (Canada)","funders":"","keywords":"Computer science; Fuse (electrical); Soft sensor; Extraction (chemistry); Process (computing); Process engineering; Quality (philosophy); Oil sands; Sampling (signal processing); Data mining; Information extraction; Asphalt; Real-time computing; Engineering; Artificial intelligence; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007242875,0.0006628914,0.000583514,0.0006860293,0.0002241527,0.0009179955,0.0005764076,0.0007291833,0.004209941],"category_scores_gemma":[0.003341611,0.0002558503,0.0005101108,0.0004961681,0.0005921893,0.001015818,0.0006194403,0.000571197,0.001181768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736368,"about_ca_system_score_gemma":0.0006144213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322798,"about_ca_topic_score_gemma":0.001891371,"domain_scores_codex":[0.99945,0.0001209126,0.00003188644,0.0001207576,0.0002440997,0.00003218647],"domain_scores_gemma":[0.9989096,0.0005401938,0.000119339,0.0001051842,0.0003019412,0.00002374302],"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":[0.000567158,0.0001076863,0.001665727,0.0005640094,0.0001401085,0.0002726442,0.0001834709,0.4755864,0.04967244,0.05244672,0.006342768,0.4124509],"study_design_scores_gemma":[0.00002951189,0.0000903766,0.0006593439,0.00004677645,0.00002586756,0.00007977175,0.00001317382,0.957758,0.01603834,0.02111692,0.004104333,0.0000374837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006393951,0.0003855996,0.9896892,0.0001712032,0.00005810241,0.00003697951,0.0001338477,0.0003108867,0.002820213],"genre_scores_gemma":[0.5577241,0.001259152,0.4264985,0.0002766053,0.0002841926,0.0002631296,0.000888598,0.0001839685,0.01262174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004209941,"threshold_uncertainty_score":0.01408362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02812208841741393,"score_gpt":0.2661165206244606,"score_spread":0.2379944322070466,"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."}}