{"id":"W2544462376","doi":"","title":"Characterization and Modeling of Selected Antiandrogens and Pharmaceuticals in Highly Impacted Reaches of Grand River Watershed in Southern Ontario","year":2013,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antiandrogens; Watershed; Geography; Environmental science; Medicine; Antiandrogen; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033106,0.0001666095,0.0003856355,0.0002078162,0.00003152535,0.000006857907,0.0001115257,0.0002064296,0.000053133],"category_scores_gemma":[0.000003783406,0.0001702546,0.00003519311,0.0002122365,0.0001425259,0.0002359647,0.00006013375,0.0001519123,0.00000290496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007095961,"about_ca_system_score_gemma":0.00001817692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4678333,"about_ca_topic_score_gemma":0.2680184,"domain_scores_codex":[0.9991327,0.00005180777,0.0001987483,0.0002653262,0.0001656001,0.0001858256],"domain_scores_gemma":[0.9996069,0.00001138606,0.0001837839,0.0001023645,0.00003450033,0.00006105549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003596359,0.00008312283,0.6578908,0.000137464,0.00003018881,0.000005081929,0.2616307,0.0002106569,0.07910573,0.000001208793,0.000001467892,0.000543911],"study_design_scores_gemma":[0.003102955,0.0001482455,0.9116063,0.0003410649,0.000157235,0.000002590286,0.02659005,0.04690755,0.01046642,0.0002491997,0.000006055251,0.0004223968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995815,0.00001645899,0.000007993895,0.00004264785,0.00002179237,0.0002633623,0.00003979587,0.000007600229,0.00001880983],"genre_scores_gemma":[0.9933243,0.0001404933,0.0001904372,0.000002180879,0.000001923715,3.416346e-7,0.0004997634,0.00001184593,0.005828714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2537155,"threshold_uncertainty_score":0.7453383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133037799639663,"score_gpt":0.1931830931603221,"score_spread":0.1818527151639255,"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."}}