{"id":"W4287843577","doi":"10.3386/w30290","title":"American Agriculture, Water Resources, and Climate Change","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Agriculture; Climate change; Environmental science; Water resources; Water resource management; Agroforestry; Geography; Agricultural economics; Physical geography; Geology; Ecology; Oceanography; Archaeology; Economics; Biology","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":[0.0007447223,0.0003213946,0.0001437,0.001676866,0.0007336823,0.001796352,0.0002256843,0.0006656665,0.00640684],"category_scores_gemma":[0.001343643,0.0001201281,0.0001471563,0.008523573,0.000499615,0.00103288,0.0005665103,0.0008177715,0.0005544781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898015,"about_ca_system_score_gemma":0.00447224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09117085,"about_ca_topic_score_gemma":0.1973473,"domain_scores_codex":[0.999454,0.0001194623,0.00001545606,0.00004790221,0.000298099,0.00006504091],"domain_scores_gemma":[0.9993473,0.0001689119,0.00008454199,0.0000398271,0.000299424,0.00006000713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001038467,0.000177273,0.03189307,0.0005545705,0.00009543883,0.0001877154,0.0004889608,0.004273918,0.0006005808,0.1297381,0.4919016,0.339985],"study_design_scores_gemma":[0.000006620329,0.00002649152,0.05978006,0.0001466262,0.00003451345,0.0000626687,0.0004813755,0.0006052958,0.0003530058,0.02079725,0.9176893,0.00001683412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04395074,0.2308136,0.002185363,0.07372636,0.003309285,0.00005918245,0.007258035,0.0001449403,0.6385525],"genre_scores_gemma":[0.4475555,0.341788,0.003201477,0.01021564,0.002963518,0.0001723551,0.009932562,0.00007435034,0.1840966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09117085,"threshold_uncertainty_score":0.1812804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783048713940424,"score_gpt":0.392946311070321,"score_spread":0.2146414396762786,"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."}}