{"id":"W4395446196","doi":"10.2139/ssrn.4807716","title":"Synergistic Management of Water, Energy, and Carbon: A Case Study from Shandong Province, China","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"China; Carbon fibers; Business; Water resource management; Environmental planning; Natural resource economics; Environmental science; Geography; Materials science; Economics; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005870361,0.0004278549,0.0002935449,0.001120111,0.002510238,0.001342269,0.001013715,0.0010139,0.001286198],"category_scores_gemma":[0.0007377649,0.0002257396,0.0004487564,0.003069798,0.00132218,0.000755829,0.001378581,0.0004274527,0.00006624517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009355947,"about_ca_system_score_gemma":0.0110042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5118114,"about_ca_topic_score_gemma":0.6674782,"domain_scores_codex":[0.9995382,0.0001003576,0.00001472349,0.00004830528,0.0001070493,0.0001914374],"domain_scores_gemma":[0.9996071,0.0001262405,0.00004563842,0.00002905725,0.00007598896,0.0001159555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000954,0.001596886,0.498254,0.0009130857,0.0007165853,0.08167388,0.02572455,0.2026385,0.02512483,0.03406093,0.008599964,0.1196958],"study_design_scores_gemma":[0.0004988464,0.001384323,0.4948868,0.0002968765,0.0008154017,0.004444559,0.1577218,0.2477564,0.01577946,0.01274842,0.06335698,0.0003101566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995586,0.0001118772,0.0004649333,0.0002436548,0.000003522203,0.0000348638,0.00008966979,0.00001196461,0.003453426],"genre_scores_gemma":[0.9972692,0.0001284526,0.000742174,0.00002316252,0.000001436936,0.00001185703,0.00006738329,0.000003783327,0.001752519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5118114,"threshold_uncertainty_score":0.9821273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006388704725973683,"score_gpt":0.2102702985090015,"score_spread":0.2038815937830278,"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."}}