{"id":"W3026457239","doi":"","title":"Potential Approach for the Adsorption of Phosphate from Agricultural Runoff using Plaster of Paris Powder and Hydrogel Beads","year":2020,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Ontario Ministry of Agriculture, Food and Rural Affairs; University of Guelph","keywords":"Adsorption; Phosphate; Surface runoff; Agriculture; Chemical engineering; Materials science; Chemistry; Engineering; Geography; Archaeology; Organic chemistry; Biology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505618,0.0003263216,0.0001598392,0.0006037008,0.0001619284,0.0003852021,0.0002253181,0.0003553346,0.001771683],"category_scores_gemma":[0.0001137227,0.0001149496,0.000488584,0.0004795294,0.0001223197,0.0002706664,0.0001751711,0.0002561485,0.000443679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028767,"about_ca_system_score_gemma":0.0002967052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116375,"about_ca_topic_score_gemma":0.00319848,"domain_scores_codex":[0.9999202,0.00001305794,0.000004986377,0.000015021,0.00003367113,0.00001300493],"domain_scores_gemma":[0.9999666,0.000009151121,0.000007764886,0.00000242079,0.000009546347,0.000004565651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008812579,0.0001013157,0.0004532385,0.00106755,0.00002775583,0.0002969731,0.00007147924,0.0005495841,0.9532107,0.0005111771,0.0003000344,0.04332201],"study_design_scores_gemma":[0.00002387348,0.0007492916,0.004730207,0.00009032348,0.0001143268,0.0005377953,0.0001335761,0.001481277,0.9639217,0.0001703929,0.0280293,0.00001788131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8788448,0.0539707,0.03694928,0.001183884,0.0001473809,0.0003649368,0.0004578211,0.0002927122,0.02778842],"genre_scores_gemma":[0.8933464,0.03529552,0.04338256,0.0003111794,0.00004493912,0.0001611067,0.0004795691,0.00003029508,0.02694838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001771683,"threshold_uncertainty_score":0.005926907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054727486642654,"score_gpt":0.1886268138082527,"score_spread":0.1780795389418262,"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."}}