{"id":"W4403472001","doi":"10.1016/j.cep.2024.110029","title":"Process intensification technologies to enhance agricultural sustainability and safety","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering and Processing - Process Intensification","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sustainability; Agriculture; Process (computing); Business; Environmental resource management; Environmental planning; Environmental science; Computer science; Geography; Ecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001036639,0.0002843597,0.0003809744,0.0003439684,0.0001919659,0.0006156672,0.000402256,0.0002115717,0.000004102811],"category_scores_gemma":[0.009118059,0.0002030917,0.00006084997,0.002132637,0.0002002115,0.0006776952,0.00009702883,0.000401271,0.00001258878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113006,"about_ca_system_score_gemma":0.00009633163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006143217,"about_ca_topic_score_gemma":7.811072e-7,"domain_scores_codex":[0.9973105,0.00002186123,0.0007015863,0.001070754,0.0005612003,0.0003341203],"domain_scores_gemma":[0.9970648,0.0003366157,0.0001204434,0.0003457793,0.001988602,0.0001438051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008494627,0.00003855214,0.0002465438,0.001119386,0.00003053547,0.0000033581,0.005865921,0.002450993,0.06143239,0.0009292798,0.0001918228,0.9276063],"study_design_scores_gemma":[0.0002077843,0.0001025503,0.004273034,0.001186046,0.0001624966,0.0001542286,0.03045382,0.5604417,0.3304769,0.06697552,0.004214181,0.001351771],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576165,0.005568073,0.10589,0.0289854,0.0001506265,0.0004411612,0.00001005226,0.001180107,0.0001580228],"genre_scores_gemma":[0.9982411,0.0001465749,0.001216146,0.00005558466,0.00006273588,0.00009784794,0.00001759884,0.00002046028,0.0001419257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9262545,"threshold_uncertainty_score":0.9992285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190216535986983,"score_gpt":0.3451111205136848,"score_spread":0.3260894669149865,"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."}}