{"id":"W7005484695","doi":"","title":"Removal of pharmaceutically active compounds from water systems using freeze concentration / by Yuanyuan Shao.","year":2007,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lakehead University","keywords":"Wastewater; Effluent; Drug; Human health; Sewage treatment; Surface water","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001535497,0.0003707518,0.000655291,0.00006286857,0.0005260533,0.00004635586,0.0004886081,0.0005161962,0.0001439428],"category_scores_gemma":[0.00001955551,0.0001984482,0.000205544,0.0003926671,0.0002245487,0.0001888586,0.0001137084,0.0004082453,0.00002744995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930009,"about_ca_system_score_gemma":0.00004815584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004763561,"about_ca_topic_score_gemma":0.1712077,"domain_scores_codex":[0.9982235,0.000230808,0.000389028,0.0005025943,0.0001881671,0.0004658486],"domain_scores_gemma":[0.9986361,0.0003626842,0.0002944106,0.0001095393,0.000437228,0.0001600405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001751365,0.001582421,0.02947016,0.0002375044,0.001487475,0.0002799913,0.001230873,0.000007263491,0.947779,0.0008125965,0.007535265,0.007826102],"study_design_scores_gemma":[0.00147801,0.0003894035,0.1095224,0.0003984729,0.0008691347,0.0000206956,0.00829984,0.0002479228,0.03586693,0.00007471525,0.8416148,0.001217622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070753,0.00149298,0.00001181104,0.00005581451,0.001090149,0.0004266543,0.0005954915,0.00006522694,0.0891865],"genre_scores_gemma":[0.991268,0.0000207749,0.00001684579,0.000003363571,0.000274269,0.000001751557,0.000931815,0.000004172189,0.00747896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.911912,"threshold_uncertainty_score":0.8439156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671894513133381,"score_gpt":0.2729207563403694,"score_spread":0.2162018112090356,"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."}}