{"id":"W3080818333","doi":"10.1002/cjce.23871","title":"Process intensification connects scales and disciplines towards sustainability","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Process Optimization and Integration","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canada Research Chairs","keywords":"Globe; Process (computing); Sustainability; Scale (ratio); Computer science; Process management; Data science; Management science; Engineering; Geography; Psychology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00008604554,0.00007739039,0.0001072098,0.00004223817,0.00002984144,0.00004867239,0.0001179594,0.00004171631,0.00000635515],"category_scores_gemma":[0.0007098225,0.00005732047,0.00002383715,0.0001501461,0.00004197021,0.0001456712,0.000004622824,0.0001885341,4.28553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009054801,"about_ca_system_score_gemma":0.0001276891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003165933,"about_ca_topic_score_gemma":0.00003977115,"domain_scores_codex":[0.9995779,0.000003800013,0.0001812147,0.00005041742,0.00007130994,0.0001153046],"domain_scores_gemma":[0.9993793,0.00002042485,0.00002916294,0.00004497598,0.000263261,0.0002628737],"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":[0.00002257339,0.000005545172,0.000428674,0.0006591231,0.00006848542,0.00001185683,0.006830971,0.9473821,0.03375355,0.002374044,0.0007354442,0.007727622],"study_design_scores_gemma":[0.0001797866,0.00002040953,0.0003487114,0.00004806275,0.00001767878,0.00004024342,0.0002984816,0.9101958,0.08776981,0.0005298576,0.0004026247,0.0001484816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659261,0.0006987726,0.02311883,0.009855102,0.0001209281,0.00009985839,0.000004023679,0.00005713597,0.000119236],"genre_scores_gemma":[0.9995667,0.000005326796,0.0002114625,0.00009015364,0.0001091597,0.00000202496,0.00000190658,0.00001195292,0.000001312652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05401626,"threshold_uncertainty_score":0.2337461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520880216533821,"score_gpt":0.2090098394954372,"score_spread":0.1994889592789034,"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."}}