{"id":"W4255384864","doi":"10.1175/1520-0477-83.8.1191","title":"BEGINNING A NEW ERA OF DROUGHT MONITORING ACROSS NORTH AMERICA","year":2002,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National weather service; Geography; Meteorology; Environmental science","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":[0.007117872,0.0003113286,0.0004654759,0.00137041,0.001097529,0.003168483,0.0009513706,0.001096677,0.003180574],"category_scores_gemma":[0.008839205,0.0002940255,0.00018202,0.002713495,0.001408563,0.008224083,0.002111173,0.002344127,0.0002805443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830351,"about_ca_system_score_gemma":0.004124284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242106,"about_ca_topic_score_gemma":0.06912568,"domain_scores_codex":[0.997978,0.0006142224,0.0001573619,0.0004994503,0.0006169741,0.000133925],"domain_scores_gemma":[0.9909229,0.002695542,0.0009650475,0.001269003,0.002986311,0.0011612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001040135,0.0001298868,0.08020927,0.0004451716,0.00006273297,0.0001066405,0.003895803,0.0007679957,0.003715278,0.01074013,0.0748218,0.8250012],"study_design_scores_gemma":[0.00002236698,0.0000916408,0.2461244,0.0006598642,0.00004011053,0.0001751497,0.004255534,0.002107684,0.0006680079,0.01391533,0.7318859,0.00005389299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3813097,0.07490519,0.08094193,0.370003,0.00584755,0.0002248418,0.008460308,0.001963247,0.07634421],"genre_scores_gemma":[0.7773987,0.0385991,0.1281764,0.02890231,0.006089585,0.0003578397,0.005859355,0.0003925634,0.01422413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9775789,"threshold_uncertainty_score":0.04458112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438397546363429,"score_gpt":0.2368079382180429,"score_spread":0.2224239627544086,"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."}}