{"id":"W339449537","doi":"10.30955/gnj.000943","title":"Use of Renewable Energy in Aquaculture: An Energy Audit case-study analysis","year":2013,"lang":"en","type":"article","venue":"Global NEST Journal","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Aquaculture; Business; Energy (signal processing); Audit; Natural resource economics; Fishery; Environmental science; Environmental resource management; Economics; Accounting; Fish <Actinopterygii>; Ecology; Physics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002845774,0.0002701161,0.0003233147,0.002479027,0.0008287517,0.001150445,0.000509067,0.0008442195,0.001513008],"category_scores_gemma":[0.00350962,0.0002100645,0.0006140832,0.002377093,0.0006856452,0.0008470139,0.0008771933,0.0003640722,0.0001828836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870446,"about_ca_system_score_gemma":0.001563523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009152007,"about_ca_topic_score_gemma":0.01537104,"domain_scores_codex":[0.9980024,0.00107165,0.0001649537,0.0001109141,0.0004649,0.0001851287],"domain_scores_gemma":[0.9960046,0.002591094,0.0004947387,0.0002125184,0.0005862656,0.0001106839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001058247,0.004049302,0.5938997,0.001683581,0.0003832042,0.03032229,0.01147829,0.104502,0.009621738,0.02910762,0.003462967,0.2104311],"study_design_scores_gemma":[0.0002610614,0.003883212,0.5631821,0.001670749,0.0007544265,0.01046831,0.1033306,0.2259919,0.03398841,0.01074987,0.04543032,0.0002889869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834363,0.0002801693,0.008456162,0.0002364132,0.000007879446,0.0003906171,0.000285626,0.00002479741,0.006881971],"genre_scores_gemma":[0.9900304,0.0004443385,0.007274919,0.00002999252,0.000004660519,0.0001250411,0.0001916065,0.000005575012,0.001893584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009152007,"threshold_uncertainty_score":0.01819748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173575301605174,"score_gpt":0.2343447991763495,"score_spread":0.2126090461602978,"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."}}