{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738717,0.0001843702,0.0003257224,0.0007221118,0.0001355299,0.00008492138,0.0002845794,0.0001057587,0.0005471623],"category_scores_gemma":[0.00003067551,0.0001527216,0.00007129578,0.0001489013,0.000131087,0.0001271466,0.0003604123,0.0004771296,0.00004549601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007378763,"about_ca_system_score_gemma":0.00003137615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007236298,"about_ca_topic_score_gemma":0.0001270225,"domain_scores_codex":[0.9978895,0.00007502391,0.0003700283,0.000311316,0.0009568031,0.0003973496],"domain_scores_gemma":[0.9993615,0.00008296984,0.00008364635,0.0001642743,0.0002401051,0.00006753242],"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":[0.0002301441,0.0002286846,0.008962763,0.005268942,0.00191463,0.00005540544,0.005792177,0.2433016,0.0004759135,0.02782658,0.6633084,0.04263474],"study_design_scores_gemma":[0.0003151056,0.0001132673,0.002104308,0.00006638897,0.00003053221,0.00001296144,0.0001846065,0.007882655,0.0001447788,0.002781252,0.9859481,0.0004160856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02111939,0.001804253,0.000003014611,0.0003743334,0.000495316,0.0009402256,0.0002181202,0.0001283126,0.9749171],"genre_scores_gemma":[0.9369546,0.03645988,0.0004038557,0.000051786,0.0034018,0.001044807,0.006521662,0.0002582857,0.01490334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9600137,"threshold_uncertainty_score":0.6227808,"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."}}