{"id":"W4220979802","doi":"10.1051/ro/2022043","title":"Utilizing energy transition to drive sustainability in cold supply chains: a case study in the frozen food industry","year":2022,"lang":"en","type":"article","venue":"RAIRO. Operations research","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Operationalization; Sustainability; Environmental economics; Production (economics); Distribution (mathematics); Supply chain; Truck; Business; Process (computing); Linear programming; Operations research; Integer programming; Operations management; Computer science; Marketing; Economics; Microeconomics; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.009688677,0.0001418903,0.0002460615,0.0001459771,0.001286436,0.0001838291,0.0005623946,0.0001152048,0.0005225958],"category_scores_gemma":[0.0009769048,0.00006420163,0.0000690713,0.003118792,0.0001053626,0.0001807347,0.0002776471,0.001387414,0.000002207121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007189691,"about_ca_system_score_gemma":0.0001718908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05061515,"about_ca_topic_score_gemma":0.3990975,"domain_scores_codex":[0.9906371,0.006871019,0.0004830276,0.0005924895,0.0008505442,0.0005658036],"domain_scores_gemma":[0.9981396,0.001226671,0.0000160263,0.0002393322,0.0002659436,0.0001124783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009720828,0.03509043,0.3008236,0.0000974295,0.0001347365,0.008358255,0.3723609,0.1421747,0.03926362,0.01762397,0.00534835,0.0777519],"study_design_scores_gemma":[0.0006452937,0.004355003,0.131361,0.000009050421,0.00000539958,0.0001251046,0.8544881,0.005494566,0.0003064262,0.0003235649,0.002616787,0.0002696753],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634658,0.00004478965,0.000006076917,0.03342104,0.00002392524,0.002782473,0.0001522153,0.00002347277,0.00008018065],"genre_scores_gemma":[0.9960142,0.000001756351,0.00001625781,0.0003387886,0.00006376171,0.003392894,0.00005190221,0.000002005558,0.0001184768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4821272,"threshold_uncertainty_score":0.9894357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07829955921766257,"score_gpt":0.3501000740069252,"score_spread":0.2718005147892626,"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."}}