{"id":"W2523048607","doi":"10.1002/aic.15511","title":"Input–output pairing accounting for both structure and strength in coupling","year":2016,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairing; Closeness; Measure (data warehouse); Sensitivity (control systems); Computer science; Topology (electrical circuits); Matrix (chemical analysis); Coupling strength; Coupling (piping); Degree (music); Network topology; Physical system; Control theory (sociology); Mathematics; Algorithm; Data mining; Control (management); Engineering; Artificial intelligence; Electronic engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002047131,0.00133822,0.001117248,0.001018866,0.0007038698,0.00173786,0.001016203,0.0008433399,0.004661862],"category_scores_gemma":[0.004835296,0.0004832964,0.0009623882,0.000839726,0.001542122,0.003014633,0.001841792,0.001112141,0.000797322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005823891,"about_ca_system_score_gemma":0.0006586896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000299511,"about_ca_topic_score_gemma":0.0002521774,"domain_scores_codex":[0.9980345,0.0005868126,0.0001459042,0.0004150418,0.0007026567,0.000115055],"domain_scores_gemma":[0.9979474,0.0009621775,0.000298701,0.0004736304,0.000254843,0.00006329343],"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":[0.0003712136,0.0002682107,0.003801503,0.0005965789,0.0002420696,0.000464303,0.000272914,0.5077188,0.1005999,0.2078015,0.001060379,0.1768027],"study_design_scores_gemma":[0.00001771391,0.000340366,0.001564093,0.00003381231,0.00007066008,0.000277389,0.00005473696,0.8663526,0.04157535,0.08623812,0.003414967,0.00006019298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0276219,0.0001934408,0.9615391,0.00009699624,0.000101459,0.00007334911,0.00004802505,0.0003518093,0.009973872],"genre_scores_gemma":[0.8630637,0.0002343188,0.1336,0.00007783058,0.00005436514,0.0002076765,0.00008283158,0.0001032205,0.002576031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004661862,"threshold_uncertainty_score":0.0155955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007046092062817648,"score_gpt":0.2000732602011098,"score_spread":0.1930271681382921,"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."}}