{"id":"W7099431955","doi":"","title":"J. Great Lakes Res. 33 (Special Issue 3):67–85 Internat. Assoc. Great Lakes Res., 2007 Water Quality in Great Lakes Coastal Wetlands: Basin-wide Patterns and Responses to an Anthropogenic Disturbance Gradient","year":2015,"lang":"en","type":"article","venue":"","topic":"Gender, Sexuality, and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Water quality; Nutrient; Hydrology (agriculture); Surface water; Disturbance (geology); Water level; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003427344,0.0004917466,0.0006555301,0.000315456,0.0006261676,0.0005231976,0.0006224589,0.0002939286,0.001309649],"category_scores_gemma":[0.001034416,0.0003888443,0.0001196122,0.0003517574,0.0007881128,0.000873166,0.0002346461,0.000309474,0.0001497113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044927,"about_ca_system_score_gemma":0.0002656083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07407489,"about_ca_topic_score_gemma":0.6834613,"domain_scores_codex":[0.9940576,0.001746626,0.0008398501,0.001098335,0.001083243,0.001174353],"domain_scores_gemma":[0.9975542,0.0004047062,0.0001736119,0.0006771491,0.0003576618,0.0008326934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006495349,0.0002552105,0.8254355,0.00003656361,0.00003729392,0.00003602574,0.1298475,0.00000361554,0.00007658689,0.0003225311,0.04092626,0.002373291],"study_design_scores_gemma":[0.001171047,0.000419578,0.5586464,0.0000824923,0.00004180572,0.00001114944,0.1418983,0.000009168652,0.0007782005,0.001199937,0.2949588,0.0007830598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774688,0.0001659432,0.0001349964,0.00987125,0.003321746,0.0006403651,0.0003187679,0.0001606967,0.007917426],"genre_scores_gemma":[0.9634725,0.0002382601,0.0001139346,0.0009953943,0.0038717,0.00005553863,0.0001900964,0.000043164,0.03101939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6093864,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299107874932874,"score_gpt":0.3695263067894848,"score_spread":0.2965352280401561,"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."}}