{"id":"W4381434189","doi":"10.1039/d3fb00080j","title":"Sustainability of drying technologies: system analysis","year":2023,"lang":"en","type":"article","venue":"Sustainable Food Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Sustainability; Current (fluid); Business; Environmental economics; Environmental science; Environmental resource management; Engineering; Economics; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842946,0.0001944804,0.0005036248,0.0006137287,0.0003295686,0.0000279393,0.0006528051,0.000437764,0.00001013256],"category_scores_gemma":[0.000715351,0.00009159176,0.0002140012,0.01205891,0.0002331295,0.00009631653,0.000531744,0.0002434136,0.00001003884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243541,"about_ca_system_score_gemma":0.00004431929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003854108,"about_ca_topic_score_gemma":0.0001248618,"domain_scores_codex":[0.9979318,0.00004762699,0.0004141124,0.0005154109,0.0002289127,0.0008621151],"domain_scores_gemma":[0.9986936,0.0001457761,0.0001794109,0.0002937066,0.0006468179,0.00004061948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001577628,0.0004725078,0.09420169,0.002281049,0.002248392,0.0003083465,0.0005644347,0.006332308,0.04428763,0.6687477,0.0006613357,0.1797368],"study_design_scores_gemma":[0.0005783173,0.003279932,0.007409382,0.0001074734,0.0008243256,0.00001975134,0.8048141,0.01096717,0.05990043,0.09861606,0.01232916,0.001153905],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910517,0.0003620795,0.0001338578,0.00332438,0.00003446824,0.000398768,0.00001720077,0.00418976,0.0004877392],"genre_scores_gemma":[0.9992757,0.0000215775,0.00009318212,0.000005325834,0.0000161915,0.0001142142,0.00002785936,0.000002243605,0.0004436486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8042496,"threshold_uncertainty_score":0.5793905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068417342806566,"score_gpt":0.2219259151927878,"score_spread":0.2112417417647221,"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."}}