{"id":"W1964281584","doi":"10.1007/s12403-011-0056-5","title":"A Comparative Study of USA and Canadian Water Quality Index Models","year":2011,"lang":"en","type":"article","venue":"Water Quality Exposure and Health","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Water quality; Index (typography); Environmental science; Statistics; Hydrology (agriculture); Mathematics; Computer science; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270659,0.0001901898,0.0004923257,0.00006132689,0.000305697,0.00002737711,0.0001354348,0.00008184114,0.0006807543],"category_scores_gemma":[0.00000159145,0.0001208333,0.00003210004,0.00005610842,0.0002093956,0.0002741444,0.0001548197,0.000162936,0.00004723818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308912,"about_ca_system_score_gemma":0.00003749189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7994143,"about_ca_topic_score_gemma":0.6746396,"domain_scores_codex":[0.9971534,0.0008863384,0.0007355197,0.0004031456,0.0003104369,0.0005111317],"domain_scores_gemma":[0.9990783,0.00001680727,0.0001117939,0.0003086328,0.00001801369,0.0004663974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008629898,0.000554476,0.5765738,0.00009782269,0.00004780155,0.000002448361,0.4202418,0.00004746253,0.0003946119,0.001169076,0.0001891173,0.0005952272],"study_design_scores_gemma":[0.001019997,0.0007870133,0.980381,0.00001064304,0.00001087136,0.000002977118,0.009663376,0.00006567284,0.002321691,0.004564884,0.0009033597,0.0002684959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955918,0.00002571762,0.0001677407,0.001216126,0.00005586529,0.0005260065,0.00003508608,0.00001446311,0.002367151],"genre_scores_gemma":[0.9983326,0.00001543064,0.0001786596,0.001111153,0.00001445474,0.00002068137,0.00001557902,0.000007072953,0.0003044145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4105785,"threshold_uncertainty_score":0.7453783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2477145036883198,"score_gpt":0.3768378561770935,"score_spread":0.1291233524887737,"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."}}