{"id":"W2149926347","doi":"10.1080/10496505.2012.692238","title":"The Ogallala Aquifer in Nebraska: Gray Literature (1891–2010)","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural & Food Information","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquifer; Digitization; Gray (unit); Grey literature; Pipeline (software); Water resource management; Computer science; Environmental science; Geology; Political science; Groundwater; Law; MEDLINE","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0005472503,0.0002404147,0.0002097651,0.01299989,0.005680976,0.004134099,0.000421841,0.0008421383,0.005403952],"category_scores_gemma":[0.00241367,0.0001778073,0.00009555613,0.02083324,0.002801116,0.003453553,0.001575276,0.0007047521,0.0006357484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021997,"about_ca_system_score_gemma":0.01084832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2905503,"about_ca_topic_score_gemma":0.6187648,"domain_scores_codex":[0.9996662,0.00003634943,0.00004287177,0.00005772517,0.0001114116,0.00008540686],"domain_scores_gemma":[0.9985223,0.0007229746,0.0002681545,0.00003847267,0.0003296954,0.000118386],"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":[0.0001285193,0.00005510445,0.01617448,0.005958616,0.00002817723,0.003851495,0.2294352,0.0002193655,0.001495474,0.09511398,0.1831624,0.4643772],"study_design_scores_gemma":[0.000001685325,0.00001025766,0.02583537,0.002805949,0.00001455213,0.0004232126,0.03078135,0.00002563153,0.0001686868,0.001275199,0.938647,0.00001112881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1697312,0.4338443,0.0004099584,0.02990511,0.004855851,0.00004510965,0.003047507,0.00009369497,0.3580672],"genre_scores_gemma":[0.5887663,0.3433328,0.001043299,0.003812681,0.001164635,0.00004036995,0.002081724,0.00005978366,0.05969843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9870001,"threshold_uncertainty_score":0.5777182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005569505340733545,"score_gpt":0.1812116169932456,"score_spread":0.175642111652512,"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."}}