{"id":"W2112106514","doi":"10.1111/j.1745-6584.2006.00296.x","title":"BIOSCREEN‐AT: BIOSCREEN with an Exact Analytical Solution","year":2007,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Exact solutions in general relativity; Interface (matter); Simple (philosophy); Software; Computer science; Ideal (ethics); Graphical user interface; Algorithm; Ideal solution; Code (set theory); Computational science; Applied mathematics; Physics; Mathematics; Mathematical analysis; Thermodynamics; Programming language; Set (abstract data type); Operating system","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003979957,0.0001648565,0.0001349787,0.00005021131,0.0003048395,0.00005344497,0.000151866,0.00006482129,0.001275744],"category_scores_gemma":[0.000002415932,0.00009741778,0.00003947252,0.0001173382,0.000240606,0.0004282282,0.0001883946,0.00007621252,0.001345641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055357,"about_ca_system_score_gemma":0.000001908552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008509822,"about_ca_topic_score_gemma":0.002187719,"domain_scores_codex":[0.9985854,0.00003130847,0.0001842967,0.0003525254,0.0003531593,0.0004933164],"domain_scores_gemma":[0.9995586,0.00001578326,0.00002715374,0.0002447499,0.00001327592,0.0001404188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007978314,0.0005261623,0.8408441,0.00001473321,0.0001546476,0.0001725533,0.003324997,0.00003496095,0.0689714,0.0006005971,0.003256134,0.08130189],"study_design_scores_gemma":[0.0006226556,0.000435093,0.9184399,0.000004869124,0.00004257151,0.00003495056,0.0002886022,0.0003452271,0.01196746,0.00007984033,0.0673941,0.00034473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598651,0.000006001521,0.03256861,0.00042612,0.00005466284,0.0001183068,0.000002903059,0.00006503009,0.006893286],"genre_scores_gemma":[0.985334,0.000001288122,0.0006056913,0.0003625272,0.00007328328,0.000006192256,0.00003998741,0.00001484654,0.01356219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08095717,"threshold_uncertainty_score":0.9996372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684169930820604,"score_gpt":0.2345615540910407,"score_spread":0.2177198547828347,"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."}}