{"id":"W1807045450","doi":"","title":"Water Supply for the Guelph Center for Urban Organic Farming","year":2010,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Water supply; Piping; Acre; Farm water; Environmental engineering; Water resource management; Water use; Organic farming; Groundwater; Water conservation; Agriculture; Water resources; Engineering; Agricultural science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002847759,0.00008753702,0.0001246544,0.000008959338,0.0007023697,0.00001286433,0.0007402721,0.0001195012,0.0005217394],"category_scores_gemma":[0.0000239653,0.00002685844,0.0001658051,0.00008864818,0.0001974051,0.00007193213,0.0001321659,0.0001436222,0.00003069108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006450749,"about_ca_system_score_gemma":0.000003804262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170046,"about_ca_topic_score_gemma":0.002417235,"domain_scores_codex":[0.9994321,0.00001782225,0.00007346441,0.0001513006,0.00006826857,0.0002570517],"domain_scores_gemma":[0.9993965,0.0003127682,0.00005922127,0.0001207999,0.00008296232,0.00002775406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001174931,0.00002779922,0.001980114,0.000005330012,0.00003192731,4.761805e-7,0.0002829672,1.892213e-7,0.9860985,0.0008786179,0.002363324,0.008213224],"study_design_scores_gemma":[0.002345673,0.0006407298,0.3206415,0.00001330333,0.0003651799,0.00001982194,0.01102987,0.0006023851,0.03230162,0.004069199,0.627558,0.0004127643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747878,0.00004730207,0.0001484732,0.02410527,0.0001756817,0.0004820067,0.0001092298,0.00006677741,0.00007748867],"genre_scores_gemma":[0.9987692,0.0000211965,0.00007975836,0.0001658796,0.0001260893,0.000002003772,0.00003517204,0.000001310138,0.0007994493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537969,"threshold_uncertainty_score":0.571268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287178809097704,"score_gpt":0.1879234228031626,"score_spread":0.1750516347121855,"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."}}