{"id":"W7116962920","doi":"10.2139/ssrn.5955631","title":"Finding synergies in water, energy and food technologies in Northern Canada","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Context (archaeology); Resource (disambiguation); Flexibility (engineering); Technological change; Process (computing); Resource efficiency; Emerging technologies; Analytic hierarchy process; Consumption (sociology); Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002578123,0.0005555854,0.000786423,0.0003817354,0.0005640936,0.0002921611,0.001136972,0.000677552,0.00001134959],"category_scores_gemma":[0.000114109,0.0002658087,0.0001264725,0.0009831891,0.0001420855,0.0001408256,0.0008673912,0.004382593,7.90288e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004802939,"about_ca_system_score_gemma":0.004828287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5152531,"about_ca_topic_score_gemma":0.9987436,"domain_scores_codex":[0.9935148,0.0002437823,0.001328783,0.0007642889,0.0004486165,0.003699695],"domain_scores_gemma":[0.9989799,0.000169614,0.0004277462,0.0001889239,0.0001839485,0.00004992955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009888603,0.0002904131,0.09441565,0.0001653581,0.0005216838,0.00006259179,0.0004997523,0.003919174,0.00222573,0.7061929,0.00006479278,0.1915431],"study_design_scores_gemma":[0.001088132,0.0009376153,0.002031412,0.001505503,0.00005061941,0.0004100216,0.04875154,0.002209441,0.0009899787,0.9234973,0.01694282,0.001585577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730774,0.01840637,0.00004683151,0.006486776,0.0009756701,0.0002601088,0.00003358125,0.00002754136,0.0006857283],"genre_scores_gemma":[0.9597992,0.03851887,0.000009591992,0.00004440727,0.0001442351,0.00004206505,0.00004070805,0.00000461914,0.001396353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4834905,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008827069185800906,"score_gpt":0.2049333308764227,"score_spread":0.1961062616906218,"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."}}