{"id":"W138587273","doi":"","title":"Intelligent information, monitoring, and control technology for industrial process applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Computer science; Intelligent agent; Fault detection and isolation; Isolation (microbiology); Multi-agent system; Control (management); Hierarchy; Process control; Artificial intelligence; Risk analysis (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077695,0.0003283225,0.0001574227,0.0005853301,0.0006289968,0.001956968,0.0004834194,0.000819449,0.00391072],"category_scores_gemma":[0.001265651,0.0001572418,0.0001576912,0.0006468379,0.001174395,0.002279732,0.000942237,0.0007299908,0.001263066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153347,"about_ca_system_score_gemma":0.0009243265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095943,"about_ca_topic_score_gemma":0.0009131152,"domain_scores_codex":[0.9995456,0.000121609,0.0000298565,0.00005780061,0.0002142652,0.00003076936],"domain_scores_gemma":[0.9996942,0.0001148523,0.00004346808,0.00005330938,0.00006840492,0.00002567725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009818,0.00005198689,0.0009890508,0.0004011308,0.00001522222,0.0002828097,0.001146254,0.008763817,0.01863937,0.455893,0.02013373,0.4935855],"study_design_scores_gemma":[0.0000341893,0.00024461,0.002173824,0.0004239728,0.00005993037,0.0006072877,0.000635559,0.06840465,0.01553449,0.2743306,0.637491,0.00005984334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0212312,0.0191568,0.8042311,0.007583651,0.0007695825,0.0001703892,0.0001431305,0.002512201,0.1442019],"genre_scores_gemma":[0.4928284,0.0153735,0.4554083,0.0009461328,0.0006336317,0.0002042675,0.0002472874,0.0001274836,0.03423111],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00391072,"threshold_uncertainty_score":0.01308268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426734925054005,"score_gpt":0.2745370155176584,"score_spread":0.2402696662671183,"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."}}